model_db.js

var db = [["torchxrayvision ResNet101-elastic autoencoder PadChest, NIH, CheXpert, MIMIC nb/ch", "Auto-Encoder", "medical xray", "padchest, nih_chest_x_ray8, chexpert, mimic_cxr/v1.0.0_small", "", "apache-2.0", "31.1 million", "118.56MB", "https://arxiv.org/abs/2002.02497", "https://github.com/mlmed/torchxrayvision/tree/master/torchxrayvision"], ["alexnet", "Classification", "natural", "imagenet1k", "95 x 95 px", "bsd-3-clause", "61.1 million", "233.08MB", "https://papers.nips.cc/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.html", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["inception_v3", "Classification", "natural", "imagenet1k", "411 x 411 px", "bsd-3-clause", "23.8 million", "90.88MB", "https://arxiv.org/abs/1512.00567", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["resnet152", "Classification", "natural", "imagenet1k", "33 x 33 px", "bsd-3-clause", "60.1 million", "229.36MB", "https://arxiv.org/abs/1512.03385", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["shufflenet_v2_x1_0", "Classification", "natural", "imagenet1k", "33 x 33 px", "bsd-3-clause", "2.3 million", "8.68MB", "https://arxiv.org/abs/1807.11164", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["vgg19_bn", "Classification", "natural", "imagenet1k", "64 x 64 px", "bsd-3-clause", "143.7 million", "548.05MB", "https://arxiv.org/abs/1409.1556", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["deit_base_patch16_224", "Classification", "natural", "imagenet1k", "", "apache-2.0", "86.6 million", "330.28MB", "https://arxiv.org/abs/2012.12877", "https://github.com/facebookresearch/deit"], ["ZFNet-512", "Classification", "natural", "imagenet1k", "91 x 91 px", "apache-2.0", "87.3 million", "332.84MB", "https://arxiv.org/abs/1311.2901", "https://github.com/onnx/models/tree/master/vision/classification/zfnet-512"], ["CNTK_103D_MNIST", "Classification", "handwriting", "mnist", "24 x 24 px", "apache-2.0", "6.0 thousand", "25.83KB", "https://github.com/Microsoft/CNTK/blob/master/Tutorials/CNTK_103D_MNIST_ConvolutionalNeuralNetwork.ipynb", "https://github.com/onnx/models/tree/master/vision/classification/mnist"], ["Emotion FerPlus", "Classification", "faces", "ferplus", "116 x 116 px", "apache-2.0", "8.8 million", "33.42MB", "https://arxiv.org/abs/1608.01041", "https://github.com/onnx/models/tree/master/vision/body_analysis/emotion_ferplus"], ["googlenet_age_adience", "Classification", "natural", "adience", "285 x 225 px", "apache-2.0", "6.0 million", "22.85MB", "https://data.vision.ee.ethz.ch/cvl/publications/papers/proceedings/eth_biwi_01229.pdf", "https://github.com/onnx/models/tree/master/vision/body_analysis/age_gender"], ["vgg_ilsvrc_16_gender_imdb_wiki", "Classification", "faces", "imdb_wiki", "64 x 64 px", "apache-2.0", "134.3 million", "512.20MB", "https://data.vision.ee.ethz.ch/cvl/publications/papers/proceedings/eth_biwi_01229.pdf", "https://github.com/onnx/models/tree/master/vision/body_analysis/age_gender"], ["disease-classification (MobileNet V2 1.00)", "Classification", "plants", "agripredict", "", "bsd-3-clause", "2.9 million", "11.06MB", NaN, "https://tfhub.dev/agripredict/disease-classification/1"], ["DenseNet161-places365", "Classification", "natural", "places365_small", "61 x 61 px", "mit", "27.5 million", "104.81MB", "http://places2.csail.mit.edu/PAMI_places.pdf", "https://github.com/CSAILVision/places365"], ["torchxrayvision DenseNet121 all", "Classification", "medical xray", "kaggle/rsna_pneumonia_detection_challenge, nih_chest_x_ray8, padchest, chexpert, mimic_cxr/v1.0.0_small", "61 x 61 px", "apache-2.0", "7.0 million", "26.87MB", "https://arxiv.org/abs/2002.02497", "https://github.com/mlmed/torchxrayvision/tree/master/torchxrayvision"], ["UKBiobank_deep_pretrain brain_age", "Classification", "medical mri", "UK Biobank brain MRI images 14.503-subject release", "382 x 446 px", "unknown", "3.0 million", "11.26MB", "https://doi.org/10.1016/j.media.2020.101871", "https://github.com/ha-ha-ha-han/UKBiobank_deep_pretrain"], ["resnet18", "Classification", "natural", "imagenet1k", "33 x 33 px", "bsd-3-clause", "11.7 million", "44.58MB", "https://arxiv.org/abs/1512.03385", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["resnet50", "Classification", "natural", "imagenet1k", "33 x 33 px", "bsd-3-clause", "25.5 million", "97.40MB", "https://arxiv.org/abs/1512.03385", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["densenet121", "Classification", "natural", "imagenet1k", "61 x 61 px", "bsd-3-clause", "8.0 million", "30.74MB", "https://arxiv.org/abs/1608.06993", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["densenet161", "Classification", "natural", "imagenet1k", "61 x 61 px", "bsd-3-clause", "28.9 million", "110.17MB", "https://arxiv.org/abs/1608.06993", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["densenet169", "Classification", "natural", "imagenet1k", "61 x 61 px", "bsd-3-clause", "14.3 million", "54.55MB", "https://arxiv.org/abs/1608.06993", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["densenet201", "Classification", "natural", "imagenet1k", "61 x 61 px", "bsd-3-clause", "20.2 million", "77.19MB", "https://arxiv.org/abs/1608.06993", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["googlenet", "Classification", "natural", "imagenet1k", "77 x 77 px", "bsd-3-clause", "6.6 million", "25.26MB", "https://arxiv.org/abs/1409.4842", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["mnasnet0_5", "Classification", "natural", "imagenet1k", "33 x 33 px", "bsd-3-clause", "2.2 million", "8.43MB", "https://arxiv.org/abs/1807.11626", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["mnasnet1_0", "Classification", "natural", "imagenet1k", "33 x 33 px", "bsd-3-clause", "4.4 million", "16.66MB", "https://arxiv.org/abs/1807.11626", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["mobilenet_v2", "Classification", "natural", "imagenet1k", "33 x 33 px", "bsd-3-clause", "3.5 million", "13.32MB", "https://arxiv.org/abs/1801.04381", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["resnet101", "Classification", "natural", "imagenet1k", "33 x 33 px", "bsd-3-clause", "44.5 million", "169.76MB", "https://arxiv.org/abs/1512.03385", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["resnet34", "Classification", "natural", "imagenet1k", "33 x 33 px", "bsd-3-clause", "21.8 million", "83.13MB", "https://arxiv.org/abs/1512.03385", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["resnext101_32x8d", "Classification", "natural", "imagenet1k", "33 x 33 px", "bsd-3-clause", "88.7 million", "338.35MB", "https://arxiv.org/abs/1611.05431", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["resnext50_32x4d", "Classification", "natural", "imagenet1k", "33 x 33 px", "bsd-3-clause", "25.0 million", "95.36MB", "https://arxiv.org/abs/1611.05431", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["shufflenet_v2_x0_5", "Classification", "natural", "imagenet1k", "33 x 33 px", "bsd-3-clause", "1.4 million", "5.22MB", "https://arxiv.org/abs/1807.11164", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["squeezenet1_0", "Classification", "natural", "imagenet1k", "51 x 51 px", "bsd-3-clause", "1.2 million", "4.77MB", "https://arxiv.org/abs/1602.07360", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["squeezenet1_1", "Classification", "natural", "imagenet1k", "47 x 47 px", "bsd-3-clause", "1.2 million", "4.72MB", "https://arxiv.org/abs/1602.07360", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["vgg11", "Classification", "natural", "imagenet1k", "64 x 64 px", "bsd-3-clause", "132.9 million", "506.84MB", "https://arxiv.org/abs/1409.1556", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["vgg11_bn", "Classification", "natural", "imagenet1k", "64 x 64 px", "bsd-3-clause", "132.9 million", "506.84MB", "https://arxiv.org/abs/1409.1556", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["vgg13", "Classification", "natural", "imagenet1k", "64 x 64 px", "bsd-3-clause", "133.0 million", "507.54MB", "https://arxiv.org/abs/1409.1556", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["vgg13_bn", "Classification", "natural", "imagenet1k", "64 x 64 px", "bsd-3-clause", "133.0 million", "507.54MB", "https://arxiv.org/abs/1409.1556", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["vgg16", "Classification", "natural", "imagenet1k", "64 x 64 px", "bsd-3-clause", "138.4 million", "527.80MB", "https://arxiv.org/abs/1409.1556", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["vgg16_bn", "Classification", "natural", "imagenet1k", "64 x 64 px", "bsd-3-clause", "138.4 million", "527.80MB", "https://arxiv.org/abs/1409.1556", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["vgg19", "Classification", "natural", "imagenet1k", "64 x 64 px", "bsd-3-clause", "143.7 million", "548.05MB", "https://arxiv.org/abs/1409.1556", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["wide_resnet101_2", "Classification", "natural", "imagenet1k", "33 x 33 px", "bsd-3-clause", "126.8 million", "483.79MB", "https://arxiv.org/abs/1605.07146", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["wide_resnet50_2", "Classification", "natural", "imagenet1k", "33 x 33 px", "bsd-3-clause", "68.8 million", "262.65MB", "https://arxiv.org/abs/1605.07146", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["EfficientNet-Lite4", "Classification", "natural", "coco/2017", "287 x 225 px", "apache-2.0", "13.0 million", "49.54MB", "https://arxiv.org/abs/1905.11946", "https://github.com/onnx/models/tree/master/vision/classification/efficientnet-lite4"], ["AlexNet-places365", "Classification", "natural", "places365_small", "", "mit", "58.5 million", "223.16MB", "http://places2.csail.mit.edu/PAMI_places.pdf", "https://github.com/CSAILVision/places365"], ["ResNet50-places365", "Classification", "natural", "places365_small", "33 x 33 px", "mit", "24.2 million", "92.44MB", "http://places2.csail.mit.edu/PAMI_places.pdf", "https://github.com/CSAILVision/places365"], ["ResNet18-places365", "Classification", "natural", "places365_small", "", "mit", "11.4 million", "43.34MB", "http://places2.csail.mit.edu/PAMI_places.pdf", "https://github.com/CSAILVision/places365"], ["torchxrayvision DenseNet121 kaggle", "Classification", "medical xray", "kaggle/rsna_pneumonia_detection_challenge", "61 x 61 px", "apache-2.0", "7.0 million", "26.87MB", "https://arxiv.org/abs/2002.02497", "https://github.com/mlmed/torchxrayvision/tree/master/torchxrayvision"], ["torchxrayvision DenseNet121 nih", "Classification", "medical xray", "nih_chest_x_ray8", "61 x 61 px", "apache-2.0", "7.0 million", "26.87MB", "https://arxiv.org/abs/2002.02497", "https://github.com/mlmed/torchxrayvision/tree/master/torchxrayvision"], ["torchxrayvision DenseNet121 pc", "Classification", "medical xray", "padchest", "61 x 61 px", "apache-2.0", "7.0 million", "26.87MB", "https://arxiv.org/abs/2002.02497", "https://github.com/mlmed/torchxrayvision/tree/master/torchxrayvision"], ["torchxrayvision DenseNet121 chex", "Classification", "medical xray", "chexpert", "61 x 61 px", "apache-2.0", "7.0 million", "26.87MB", "https://arxiv.org/abs/2002.02497", "https://github.com/mlmed/torchxrayvision/tree/master/torchxrayvision"], ["torchxrayvision DenseNet121 mimic_nb", "Classification", "medical xray", "mimic_cxr/v1.0.0_small", "61 x 61 px", "apache-2.0", "7.0 million", "26.87MB", "https://arxiv.org/abs/2002.02497", "https://github.com/mlmed/torchxrayvision/tree/master/torchxrayvision"], ["torchxrayvision DenseNet121 mimic_ch", "Classification", "medical xray", "mimic_cxr/v1.0.0_small", "61 x 61 px", "apache-2.0", "7.0 million", "26.87MB", "https://arxiv.org/abs/2002.02497", "https://github.com/mlmed/torchxrayvision/tree/master/torchxrayvision"], ["torchxrayvision ResNet50 512x512 all", "Classification", "medical xray", "kaggle/rsna_pneumonia_detection_challenge, nih_chest_x_ray8, padchest, chexpert, mimic_cxr/v1.0.0_small", "33 x 33 px", "apache-2.0", "23.5 million", "89.71MB", "https://arxiv.org/abs/2002.02497", "https://github.com/mlmed/torchxrayvision/tree/master/torchxrayvision"], ["deit_small_patch16_224", "Classification", "natural", "imagenet1k", "", "apache-2.0", "22.1 million", "84.16MB", "https://arxiv.org/abs/2012.12877", "https://github.com/facebookresearch/deit"], ["deit_base_distilled_patch16_384", "Classification", "natural", "imagenet1k", "", "apache-2.0", "87.6 million", "334.33MB", "https://arxiv.org/abs/2012.12877", "https://github.com/facebookresearch/deit"], ["deit_base_distilled_patch16_224", "Classification", "natural", "imagenet1k", "", "apache-2.0", "87.3 million", "333.22MB", "https://arxiv.org/abs/2012.12877", "https://github.com/facebookresearch/deit"], ["deit_tiny_patch16_224", "Classification", "natural", "imagenet1k", "", "apache-2.0", "5.7 million", "21.86MB", "https://arxiv.org/abs/2012.12877", "https://github.com/facebookresearch/deit"], ["deit_tiny_distilled_patch16_224", "Classification", "natural", "imagenet1k", "", "apache-2.0", "5.9 million", "22.60MB", "https://arxiv.org/abs/2012.12877", "https://github.com/facebookresearch/deit"], ["deit_base_patch16_384", "Classification", "natural", "imagenet1k", "", "apache-2.0", "86.9 million", "331.39MB", "https://arxiv.org/abs/2012.12877", "https://github.com/facebookresearch/deit"], ["deit_small_distilled_patch16_224", "Classification", "natural", "imagenet1k", "32 x 32 px", "apache-2.0", "22.4 million", "85.64MB", "https://arxiv.org/abs/2012.12877", "https://github.com/facebookresearch/deit"], ["UKBiobank_deep_pretrain sex_prediction", "Classification", "medical mri", "UK Biobank brain MRI images 14.503-subject release", "", "unknown", "2.9 million", "11.13MB", "https://doi.org/10.1016/j.media.2020.101871", "https://github.com/ha-ha-ha-han/UKBiobank_deep_pretrain"], ["hardnet68", "Classification", "natural", "imagenet1k", "", "mit", "17.6 million", "67.01MB", "https://arxiv.org/abs/1909.00948", "https://github.com/PingoLH/Pytorch-HarDNet"], ["hardnet68ds", "Classification", "natural", "imagenet1k", "", "mit", "4.2 million", "15.94MB", "https://arxiv.org/abs/1909.00948", "https://github.com/PingoLH/Pytorch-HarDNet"], ["hardnet39ds", "Classification", "natural", "imagenet1k", "", "mit", "3.5 million", "13.29MB", "https://arxiv.org/abs/1909.00948", "https://github.com/PingoLH/Pytorch-HarDNet"], ["hardnet85", "Classification", "natural", "imagenet1k", "", "mit", "36.7 million", "139.88MB", "https://arxiv.org/abs/1909.00948", "https://github.com/PingoLH/Pytorch-HarDNet"], ["ghostnet_1x", "Classification", "natural", "imagenet1k", "", "unknown", "5.2 million", "19.76MB", "https://arxiv.org/abs/1911.11907", "https://github.com/huawei-noah/ghostnet"], ["ntsnet", "Classification", "natural", "caltech_birds2011", "", "mit", "52.5 million", "200.33MB", "http://artelab.dista.uninsubria.it/res/research/papers/2019/2019-IVCNZ-Nawaz-Birds.pdf", "https://github.com/nicolalandro/ntsnet-cub200"], ["mealv1_resnest50", "Classification", "natural", "imagenet1k", "", "unknown", "25.5 million", "97.40MB", "https://arxiv.org/pdf/2009.08453.pdf", "https://github.com/szq0214/MEAL-V2"], ["mealv2_resnest50", "Classification", "natural", "imagenet1k", "", "unknown", "25.5 million", "97.40MB", "https://arxiv.org/pdf/2009.08453.pdf", "https://github.com/szq0214/MEAL-V2"], ["mealv2_resnest50_cutmix", "Classification", "natural", "imagenet1k", "", "unknown", "25.5 million", "97.40MB", "https://arxiv.org/pdf/2009.08453.pdf", "https://github.com/szq0214/MEAL-V2"], ["mealv2_resnest50_380x380", "Classification", "natural", "imagenet1k", "", "unknown", "25.5 million", "97.40MB", "https://arxiv.org/pdf/2009.08453.pdf", "https://github.com/szq0214/MEAL-V2"], ["mealv2_mobilenetv3_small_075", "Classification", "natural", "imagenet1k", "", "unknown", "2.0 million", "7.80MB", "https://arxiv.org/pdf/2009.08453.pdf", "https://github.com/paulgavrikov/MEAL-V2:pr-exportable"], ["mealv2_mobilenetv3_small_100", "Classification", "natural", "imagenet1k", "", "unknown", "2.5 million", "9.71MB", "https://arxiv.org/pdf/2009.08453.pdf", "https://github.com/paulgavrikov/MEAL-V2:pr-exportable"], ["mealv2_mobilenet_v3_large_100", "Classification", "natural", "imagenet1k", "", "unknown", "5.5 million", "20.91MB", "https://arxiv.org/pdf/2009.08453.pdf", "https://github.com/paulgavrikov/MEAL-V2:pr-exportable"], ["mealv2_efficientnet_b0", "Classification", "natural", "imagenet1k", "", "unknown", "5.3 million", "20.13MB", "https://arxiv.org/pdf/2009.08453.pdf", "https://github.com/paulgavrikov/MEAL-V2:pr-exportable"], ["TinyNet a", "Classification", "natural", "imagenet1k", "", "unknown", "6.2 million", "23.53MB", "https://arxiv.org/abs/2010.14819", "https://github.com/huawei-noah/ghostnet/tree/master/tinynet_pytorch"], ["TinyNet b", "Classification", "natural", "imagenet1k", "", "unknown", "3.7 million", "14.19MB", "https://arxiv.org/abs/2010.14819", "https://github.com/huawei-noah/ghostnet/tree/master/tinynet_pytorch"], ["TinyNet c", "Classification", "natural", "imagenet1k", "", "unknown", "2.4 million", "9.35MB", "https://arxiv.org/abs/2010.14819", "https://github.com/huawei-noah/ghostnet/tree/master/tinynet_pytorch"], ["TinyNet d", "Classification", "natural", "imagenet1k", "", "unknown", "2.3 million", "8.90MB", "https://arxiv.org/abs/2010.14819", "https://github.com/huawei-noah/ghostnet/tree/master/tinynet_pytorch"], ["TinyNet e", "Classification", "natural", "imagenet1k", "", "unknown", "2.0 million", "7.78MB", "https://arxiv.org/abs/2010.14819", "https://github.com/huawei-noah/ghostnet/tree/master/tinynet_pytorch"], ["alexnet", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["densenet121", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["densenet161", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["densenet169", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["densenet201", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["googlenet", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["inception_v3", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["mnasnet0_5", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, "https://arxiv.org/abs/1807.11626", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["mnasnet0_75", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, "https://arxiv.org/abs/1807.11626", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["mnasnet1_0", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, "https://arxiv.org/abs/1807.11626", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["mnasnet1_3", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, "https://arxiv.org/abs/1807.11626", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["mobilenet_v2", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["resnet101", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["resnet152", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["resnet18", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["resnet34", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["resnet50", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["resnext101_32x8d", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["resnext50_32x4d", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["shufflenet_v2_x0_5", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["shufflenet_v2_x1_0", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["shufflenet_v2_x1_5", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["shufflenet_v2_x2_0", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["squeezenet1_0", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["squeezenet1_1", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["vgg11_bn", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["vgg11", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["vgg13_bn", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["vgg13", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["vgg16_bn", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["vgg16", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["vgg19_bn", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["vgg19", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, NaN, "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["wide_resnet101_2", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, "https://arxiv.org/abs/1605.07146", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["wide_resnet50_2", "Classification", "None", "untrained", "", "bsd-3-clause", NaN, NaN, "https://arxiv.org/abs/1605.07146", "https://pytorch.org/docs/stable/model_zoo.html#module-torch.utils.model_zoo"], ["FractalDB1k Resnet50", "Classification", "fractals", "fractal_db_1k", "", "mit", "25.5 million", "97.40MB", "https://arxiv.org/abs/2101.08515", "https://github.com/hirokatsukataoka16/FractalDB-Pretrained-ResNet-PyTorch"], ["FractalDB10k Resnet50", "Classification", "fractals", "fractal_db_10k", "", "mit", "44.0 million", "167.75MB", "https://arxiv.org/abs/2101.08515", "https://github.com/hirokatsukataoka16/FractalDB-Pretrained-ResNet-PyTorch"], ["resnet18", "Classification", "natural", "cifar10", "", "unknown", NaN, NaN, NaN, NaN], ["resnet18", "Classification", "natural", "cifar10", "", "unknown", NaN, NaN, NaN, NaN], ["resnet18", "Classification", "natural", "cifar10", "", "unknown", NaN, NaN, NaN, NaN], ["resnet18", "Classification", "natural", "cifar10", "", "unknown", NaN, NaN, NaN, NaN], ["resnet18", "Classification", "natural", "cifar10", "", "unknown", NaN, NaN, NaN, NaN], ["resnet18", "Classification", "natural", "cifar10", "", "unknown", NaN, NaN, NaN, NaN], ["resnet18", "Classification", "natural", "cifar10", "", "unknown", NaN, NaN, NaN, NaN], ["resnet18", "Classification", "natural", "cifar10", "", "unknown", NaN, NaN, NaN, NaN], ["resnet18", "Classification", "natural", "cifar10", "", "unknown", NaN, NaN, NaN, NaN], ["resnet18", "Classification", "natural", "cifar10", "", "unknown", NaN, NaN, NaN, NaN], ["resnet18", "Classification", "natural", "cifar10", "", "unknown", NaN, NaN, NaN, NaN], ["resnet18", "Classification", "natural", "cifar10", "", "unknown", NaN, NaN, NaN, NaN], ["resnet18", "Classification", "natural", "cifar10", "", "unknown", NaN, NaN, NaN, NaN], ["resnet18", "Classification", "natural", "cifar10", "", "unknown", NaN, NaN, NaN, NaN], ["resnet18", "Classification", "natural", "cifar10", "", "unknown", NaN, NaN, NaN, NaN], ["resnet18", "Classification", "natural", "cifar10", "", "unknown", NaN, NaN, NaN, NaN], ["resnet18", "Classification", "natural", "cifar10", "", "unknown", NaN, NaN, NaN, NaN], ["resnet18", "Classification", "natural", "cifar10", "", "unknown", NaN, NaN, NaN, NaN], ["resnet18", "Classification", "natural", "cifar10", "", "unknown", NaN, NaN, NaN, NaN], ["resnet18", "Classification", "natural", "cifar10", "", "unknown", NaN, NaN, NaN, NaN], ["lowres_resnet9", "Classification", "natural", "cifar10", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg11", "Classification", "natural", "cifar10", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg19", "Classification", "natural", "cifar10", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg11_bn", "Classification", "natural", "cifar10", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet101", "Classification", "natural", "cifar10", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg16_bn", "Classification", "natural", "cifar10", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet50", "Classification", "natural", "cifar10", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet34", "Classification", "natural", "cifar10", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet152", "Classification", "natural", "cifar10", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet18", "Classification", "natural", "cifar10", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet18_noresidual", "Classification", "natural", "cifar10", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg19_bn", "Classification", "natural", "cifar10", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg13", "Classification", "natural", "cifar10", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_inception_v3", "Classification", "natural", "cifar10", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.00567", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_densenet161", "Classification", "natural", "cifar10", "", "mit", NaN, NaN, "https://arxiv.org/abs/1608.06993", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_mobilenet_v2", "Classification", "natural", "cifar10", "", "mit", NaN, NaN, "https://arxiv.org/abs/1801.04381", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_densenet169", "Classification", "natural", "cifar10", "", "mit", NaN, NaN, "https://arxiv.org/abs/1608.06993", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet14", "Classification", "natural", "cifar10", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_densenet121", "Classification", "natural", "cifar10", "", "mit", NaN, NaN, "https://arxiv.org/abs/1608.06993", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_googlenet", "Classification", "natural", "cifar10", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.4842", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_alexnet", "Classification", "natural", "cifar10", "", "mit", NaN, NaN, "https://papers.nips.cc/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.html", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg13_bn", "Classification", "natural", "cifar10", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg16", "Classification", "natural", "cifar10", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet9", "Classification", "natural", "cifar100", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg11", "Classification", "natural", "cifar100", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg19", "Classification", "natural", "cifar100", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg11_bn", "Classification", "natural", "cifar100", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet101", "Classification", "natural", "cifar100", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg16_bn", "Classification", "natural", "cifar100", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet50", "Classification", "natural", "cifar100", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet34", "Classification", "natural", "cifar100", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet152", "Classification", "natural", "cifar100", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet18", "Classification", "natural", "cifar100", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet18_noresidual", "Classification", "natural", "cifar100", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg19_bn", "Classification", "natural", "cifar100", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg13", "Classification", "natural", "cifar100", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_inception_v3", "Classification", "natural", "cifar100", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.00567", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_densenet161", "Classification", "natural", "cifar100", "", "mit", NaN, NaN, "https://arxiv.org/abs/1608.06993", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_mobilenet_v2", "Classification", "natural", "cifar100", "", "mit", NaN, NaN, "https://arxiv.org/abs/1801.04381", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_densenet169", "Classification", "natural", "cifar100", "", "mit", NaN, NaN, "https://arxiv.org/abs/1608.06993", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet14", "Classification", "natural", "cifar100", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_densenet121", "Classification", "natural", "cifar100", "", "mit", NaN, NaN, "https://arxiv.org/abs/1608.06993", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_googlenet", "Classification", "natural", "cifar100", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.4842", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_alexnet", "Classification", "natural", "cifar100", "", "mit", NaN, NaN, "https://papers.nips.cc/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.html", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg13_bn", "Classification", "natural", "cifar100", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg16", "Classification", "natural", "cifar100", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet9", "Classification", "handwriting", "mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg11", "Classification", "handwriting", "mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg19", "Classification", "handwriting", "mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg11_bn", "Classification", "handwriting", "mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet101", "Classification", "handwriting", "mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg16_bn", "Classification", "handwriting", "mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet50", "Classification", "handwriting", "mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet34", "Classification", "handwriting", "mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet152", "Classification", "handwriting", "mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet18", "Classification", "handwriting", "mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet18_noresidual", "Classification", "handwriting", "mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg19_bn", "Classification", "handwriting", "mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg13", "Classification", "handwriting", "mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_inception_v3", "Classification", "handwriting", "mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.00567", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_densenet161", "Classification", "handwriting", "mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1608.06993", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_mobilenet_v2", "Classification", "handwriting", "mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1801.04381", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_densenet169", "Classification", "handwriting", "mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1608.06993", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet14", "Classification", "handwriting", "mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_densenet121", "Classification", "handwriting", "mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1608.06993", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_googlenet", "Classification", "handwriting", "mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.4842", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_alexnet", "Classification", "handwriting", "mnist", "", "mit", NaN, NaN, "https://papers.nips.cc/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.html", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg13_bn", "Classification", "handwriting", "mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg16", "Classification", "handwriting", "mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet9", "Classification", "handwriting", "kmnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg11", "Classification", "handwriting", "kmnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg19", "Classification", "handwriting", "kmnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg11_bn", "Classification", "handwriting", "kmnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet101", "Classification", "handwriting", "kmnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg16_bn", "Classification", "handwriting", "kmnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet50", "Classification", "handwriting", "kmnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet34", "Classification", "handwriting", "kmnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet152", "Classification", "handwriting", "kmnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet18", "Classification", "handwriting", "kmnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet18_noresidual", "Classification", "handwriting", "kmnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg19_bn", "Classification", "handwriting", "kmnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg13", "Classification", "handwriting", "kmnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_inception_v3", "Classification", "handwriting", "kmnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.00567", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_densenet161", "Classification", "handwriting", "kmnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1608.06993", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_mobilenet_v2", "Classification", "handwriting", "kmnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1801.04381", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_densenet169", "Classification", "handwriting", "kmnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1608.06993", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet14", "Classification", "handwriting", "kmnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_densenet121", "Classification", "handwriting", "kmnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1608.06993", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_googlenet", "Classification", "handwriting", "kmnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.4842", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_alexnet", "Classification", "handwriting", "kmnist", "", "mit", NaN, NaN, "https://papers.nips.cc/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.html", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg13_bn", "Classification", "handwriting", "kmnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg16", "Classification", "handwriting", "kmnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet9", "Classification", "natural", "fashion_mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg11", "Classification", "natural", "fashion_mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg19", "Classification", "natural", "fashion_mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg11_bn", "Classification", "natural", "fashion_mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet101", "Classification", "natural", "fashion_mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg16_bn", "Classification", "natural", "fashion_mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet50", "Classification", "natural", "fashion_mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet34", "Classification", "natural", "fashion_mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet152", "Classification", "natural", "fashion_mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet18", "Classification", "natural", "fashion_mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet18_noresidual", "Classification", "natural", "fashion_mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg19_bn", "Classification", "natural", "fashion_mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg13", "Classification", "natural", "fashion_mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_inception_v3", "Classification", "natural", "fashion_mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.00567", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_densenet161", "Classification", "natural", "fashion_mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1608.06993", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_mobilenet_v2", "Classification", "natural", "fashion_mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1801.04381", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_densenet169", "Classification", "natural", "fashion_mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1608.06993", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_resnet14", "Classification", "natural", "fashion_mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1512.03385", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_densenet121", "Classification", "natural", "fashion_mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1608.06993", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_googlenet", "Classification", "natural", "fashion_mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.4842", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_alexnet", "Classification", "natural", "fashion_mnist", "", "mit", NaN, NaN, "https://papers.nips.cc/paper/2012/hash/c399862d3b9d6b76c8436e924a68c45b-Abstract.html", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg13_bn", "Classification", "natural", "fashion_mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["lowres_vgg16", "Classification", "natural", "fashion_mnist", "", "mit", NaN, NaN, "https://arxiv.org/abs/1409.1556", "https://github.com/paulgavrikov/pytorch-pretrained-cnns"], ["adv_inception_v3", "Classification", "natural", "imagenet1k", "", "apache-2.0", "23.8 million", "90.88MB", "https://arxiv.org/abs/1611.01236", "https://rwightman.github.io/pytorch-image-models/"], ["coat_lite_mini", "Classification", "natural", "imagenet1k", "64 x 64 px", "apache-2.0", "11.0 million", "42.07MB", "https://arxiv.org/abs/2104.06399", "https://rwightman.github.io/pytorch-image-models/"], ["coat_lite_small", "Classification", "natural", "imagenet1k", "64 x 64 px", "apache-2.0", "19.8 million", "75.80MB", "https://arxiv.org/abs/2104.06399", "https://rwightman.github.io/pytorch-image-models/"], ["coat_lite_tiny", "Classification", "natural", "imagenet1k", "64 x 64 px", "apache-2.0", "5.7 million", "21.89MB", "https://arxiv.org/abs/2104.06399", "https://rwightman.github.io/pytorch-image-models/"], ["coat_mini", "Classification", "natural", "imagenet1k", "", "apache-2.0", "14.8 million", "56.75MB", "https://arxiv.org/abs/2104.06399", "https://rwightman.github.io/pytorch-image-models/"], ["coat_tiny", "Classification", "natural", "imagenet1k", "64 x 64 px", "apache-2.0", "7.7 million", "29.67MB", "https://arxiv.org/abs/2104.06399", "https://rwightman.github.io/pytorch-image-models/"], ["cspdarknet53", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "27.6 million", "105.40MB", "https://arxiv.org/abs/1911.11929", "https://rwightman.github.io/pytorch-image-models/"], ["cspresnet50", "Classification", "natural", "imagenet1k", "", "apache-2.0", "21.6 million", "82.40MB", "https://arxiv.org/abs/1911.11929", "https://rwightman.github.io/pytorch-image-models/"], ["cspresnext50", "Classification", "natural", "imagenet1k", "", "apache-2.0", "20.5 million", "78.37MB", "https://arxiv.org/abs/1911.11929", "https://rwightman.github.io/pytorch-image-models/"], ["densenet121", "Classification", "natural", "imagenet1k", "", "apache-2.0", "8.0 million", "30.74MB", "https://arxiv.org/abs/1608.06993", "https://rwightman.github.io/pytorch-image-models/"], ["densenetblur121d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "8.1 million", "30.81MB", "https://arxiv.org/abs/1904.11486", "https://rwightman.github.io/pytorch-image-models/"], ["dla34", "Classification", "natural", "imagenet1k", "", "apache-2.0", "15.7 million", "60.03MB", "https://arxiv.org/abs/1707.06484", "https://rwightman.github.io/pytorch-image-models/"], ["dla46_c", "Classification", "natural", "imagenet1k", "59 x 59 px", "apache-2.0", "1.3 million", "4.96MB", "https://arxiv.org/abs/1707.06484", "https://rwightman.github.io/pytorch-image-models/"], ["dla46x_c", "Classification", "natural", "imagenet1k", "", "apache-2.0", "1.1 million", "4.07MB", "https://arxiv.org/abs/1707.06484", "https://rwightman.github.io/pytorch-image-models/"], ["dla60", "Classification", "natural", "imagenet1k", "63 x 63 px", "apache-2.0", "22.0 million", "84.00MB", "https://arxiv.org/abs/1707.06484", "https://rwightman.github.io/pytorch-image-models/"], ["dla60_res2net", "Classification", "natural", "imagenet1k", "93 x 93 px", "apache-2.0", "20.8 million", "79.46MB", "https://arxiv.org/abs/1904.01169", "https://rwightman.github.io/pytorch-image-models/"], ["dla60_res2next", "Classification", "natural", "imagenet1k", "", "apache-2.0", "17.0 million", "64.90MB", "https://arxiv.org/abs/1904.01169", "https://rwightman.github.io/pytorch-image-models/"], ["dla60x", "Classification", "natural", "imagenet1k", "", "apache-2.0", "17.3 million", "66.10MB", "https://arxiv.org/abs/1707.06484", "https://rwightman.github.io/pytorch-image-models/"], ["dla60x_c", "Classification", "natural", "imagenet1k", "", "apache-2.0", "1.3 million", "5.02MB", "https://arxiv.org/abs/1707.06484", "https://rwightman.github.io/pytorch-image-models/"], ["dla102", "Classification", "natural", "imagenet1k", "63 x 63 px", "apache-2.0", "33.2 million", "126.81MB", "https://arxiv.org/abs/1707.06484", "https://rwightman.github.io/pytorch-image-models/"], ["dla102x", "Classification", "natural", "imagenet1k", "", "apache-2.0", "26.3 million", "100.21MB", "https://arxiv.org/abs/1707.06484", "https://rwightman.github.io/pytorch-image-models/"], ["dla102x2", "Classification", "natural", "imagenet1k", "63 x 63 px", "apache-2.0", "41.2 million", "157.23MB", "https://arxiv.org/abs/1707.06484", "https://rwightman.github.io/pytorch-image-models/"], ["dla169", "Classification", "natural", "imagenet1k", "", "apache-2.0", "53.3 million", "203.50MB", "https://arxiv.org/abs/1707.06484", "https://rwightman.github.io/pytorch-image-models/"], ["dpn68", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "12.6 million", "48.16MB", "https://arxiv.org/abs/1707.01629", "https://rwightman.github.io/pytorch-image-models/"], ["dpn68b", "Classification", "natural", "imagenet1k", "", "apache-2.0", "12.6 million", "48.15MB", "https://arxiv.org/abs/1707.01629", "https://rwightman.github.io/pytorch-image-models/"], ["dpn92", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "37.7 million", "143.98MB", "https://arxiv.org/abs/1707.01629", "https://rwightman.github.io/pytorch-image-models/"], ["dpn98", "Classification", "natural", "imagenet1k", "", "apache-2.0", "61.6 million", "235.13MB", "https://arxiv.org/abs/1707.01629", "https://rwightman.github.io/pytorch-image-models/"], ["dpn107", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "87.0 million", "331.88MB", "https://arxiv.org/abs/1707.01629", "https://rwightman.github.io/pytorch-image-models/"], ["dpn131", "Classification", "natural", "imagenet1k", "", "apache-2.0", "79.3 million", "302.69MB", "https://arxiv.org/abs/1707.01629", "https://rwightman.github.io/pytorch-image-models/"], ["ecaresnet26t", "Classification", "natural", "imagenet1k", "", "apache-2.0", "16.0 million", "61.03MB", "https://arxiv.org/abs/1910.03151", "https://rwightman.github.io/pytorch-image-models/"], ["ecaresnet50d", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "25.5 million", "97.48MB", "https://arxiv.org/abs/1910.03151", "https://rwightman.github.io/pytorch-image-models/"], ["ecaresnet50d_pruned", "Classification", "natural", "imagenet1k", "", "apache-2.0", "19.9 million", "76.00MB", "https://arxiv.org/abs/1910.03151", "https://rwightman.github.io/pytorch-image-models/"], ["ecaresnet50t", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "25.5 million", "97.47MB", "https://arxiv.org/abs/1910.03151", "https://rwightman.github.io/pytorch-image-models/"], ["ecaresnet101d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "44.5 million", "169.85MB", "https://arxiv.org/abs/1910.03151", "https://rwightman.github.io/pytorch-image-models/"], ["ecaresnet101d_pruned", "Classification", "natural", "imagenet1k", "", "apache-2.0", "24.8 million", "94.83MB", "https://arxiv.org/abs/1910.03151", "https://rwightman.github.io/pytorch-image-models/"], ["ecaresnet269d", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "102.0 million", "389.08MB", "https://arxiv.org/abs/1910.03151", "https://rwightman.github.io/pytorch-image-models/"], ["ecaresnetlight", "Classification", "natural", "imagenet1k", "", "apache-2.0", "30.1 million", "114.96MB", "https://arxiv.org/abs/1910.03151", "https://rwightman.github.io/pytorch-image-models/"], ["efficientnet_b0", "Classification", "natural", "imagenet1k", "", "apache-2.0", "5.3 million", "20.12MB", "https://arxiv.org/abs/1905.11946", "https://rwightman.github.io/pytorch-image-models/"], ["efficientnet_b1", "Classification", "natural", "imagenet1k", "", "apache-2.0", "7.8 million", "29.65MB", "https://arxiv.org/abs/1905.11946", "https://rwightman.github.io/pytorch-image-models/"], ["efficientnet_b1_pruned", "Classification", "natural", "imagenet1k", "", "apache-2.0", "6.3 million", "24.11MB", "https://arxiv.org/abs/1905.11946", "https://rwightman.github.io/pytorch-image-models/"], ["efficientnet_b2", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "9.1 million", "34.66MB", "https://arxiv.org/abs/1905.11946", "https://rwightman.github.io/pytorch-image-models/"], ["efficientnet_b2_pruned", "Classification", "natural", "imagenet1k", "", "apache-2.0", "8.3 million", "31.64MB", "https://arxiv.org/abs/1905.11946", "https://rwightman.github.io/pytorch-image-models/"], ["efficientnet_b3", "Classification", "natural", "imagenet1k", "", "apache-2.0", "12.2 million", "46.54MB", "https://arxiv.org/abs/1905.11946", "https://rwightman.github.io/pytorch-image-models/"], ["efficientnet_b3_pruned", "Classification", "natural", "imagenet1k", "", "apache-2.0", "9.8 million", "37.52MB", "https://arxiv.org/abs/1905.11946", "https://rwightman.github.io/pytorch-image-models/"], ["efficientnet_b4", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "19.3 million", "73.59MB", "https://arxiv.org/abs/1905.11946", "https://rwightman.github.io/pytorch-image-models/"], ["efficientnet_el", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "10.5 million", "40.23MB", "https://ai.googleblog.com/2019/08/efficientnet-edgetpu-creating.html", "https://rwightman.github.io/pytorch-image-models/"], ["efficientnet_el_pruned", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "10.5 million", "40.23MB", "https://ai.googleblog.com/2019/08/efficientnet-edgetpu-creating.html", "https://rwightman.github.io/pytorch-image-models/"], ["efficientnet_em", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "6.9 million", "26.20MB", "https://ai.googleblog.com/2019/08/efficientnet-edgetpu-creating.html", "https://rwightman.github.io/pytorch-image-models/"], ["efficientnet_es", "Classification", "natural", "imagenet1k", "", "apache-2.0", "5.4 million", "20.66MB", "https://ai.googleblog.com/2019/08/efficientnet-edgetpu-creating.html", "https://rwightman.github.io/pytorch-image-models/"], ["efficientnet_es_pruned", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "5.4 million", "20.66MB", "https://ai.googleblog.com/2019/08/efficientnet-edgetpu-creating.html", "https://rwightman.github.io/pytorch-image-models/"], ["efficientnet_lite0", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "4.6 million", "17.68MB", "https://arxiv.org/abs/1905.11946", "https://rwightman.github.io/pytorch-image-models/"], ["efficientnetv2_rw_m", "Classification", "natural", "imagenet1k", "", "apache-2.0", "53.1 million", "202.57MB", "https://arxiv.org/abs/2104.00298", "https://rwightman.github.io/pytorch-image-models/"], ["efficientnetv2_rw_s", "Classification", "natural", "imagenet1k", "", "apache-2.0", "23.9 million", "91.07MB", "https://arxiv.org/abs/2104.00298", "https://rwightman.github.io/pytorch-image-models/"], ["ens_adv_inception_resnet_v2", "Classification", "natural", "imagenet1k", "107 x 107 px", "apache-2.0", "55.8 million", "212.97MB", "https://arxiv.org/abs/1602.07261", "https://rwightman.github.io/pytorch-image-models/"], ["ese_vovnet19b_dw", "Classification", "natural", "imagenet1k", "89 x 89 px", "apache-2.0", "6.5 million", "24.95MB", "https://arxiv.org/abs/1904.09730", "https://rwightman.github.io/pytorch-image-models/"], ["ese_vovnet39b", "Classification", "natural", "imagenet1k", "89 x 89 px", "apache-2.0", "24.6 million", "93.69MB", "https://arxiv.org/abs/1904.09730", "https://rwightman.github.io/pytorch-image-models/"], ["fbnetc_100", "Classification", "natural", "imagenet1k", "", "apache-2.0", "5.6 million", "21.18MB", "https://arxiv.org/abs/1812.03443", "https://rwightman.github.io/pytorch-image-models/"], ["gernet_l", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "31.0 million", "118.37MB", "https://arxiv.org/abs/2006.14090", "https://rwightman.github.io/pytorch-image-models/"], ["gernet_m", "Classification", "natural", "imagenet1k", "", "apache-2.0", "21.1 million", "80.54MB", "https://arxiv.org/abs/2006.14090", "https://rwightman.github.io/pytorch-image-models/"], ["gernet_s", "Classification", "natural", "imagenet1k", "", "apache-2.0", "8.2 million", "31.12MB", "https://arxiv.org/abs/2006.14090", "https://rwightman.github.io/pytorch-image-models/"], ["ghostnet_100", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "5.2 million", "19.76MB", "https://arxiv.org/abs/1911.11907", "https://rwightman.github.io/pytorch-image-models/"], ["gluon_inception_v3", "Classification", "natural", "imagenet1k", "411 x 411 px", "apache-2.0", "23.8 million", "90.88MB", "https://jmlr.org/papers/v21/19-429.html", "https://rwightman.github.io/pytorch-image-models/"], ["gluon_resnet18_v1b", "Classification", "natural", "imagenet1k", "", "apache-2.0", "11.7 million", "44.58MB", "https://jmlr.org/papers/v21/19-429.html", "https://rwightman.github.io/pytorch-image-models/"], ["gluon_resnet34_v1b", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "21.8 million", "83.13MB", "https://jmlr.org/papers/v21/19-429.html", "https://rwightman.github.io/pytorch-image-models/"], ["gluon_resnet50_v1b", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "25.5 million", "97.40MB", "https://jmlr.org/papers/v21/19-429.html", "https://rwightman.github.io/pytorch-image-models/"], ["gluon_resnet50_v1c", "Classification", "natural", "imagenet1k", "", "apache-2.0", "25.5 million", "97.48MB", "https://jmlr.org/papers/v21/19-429.html", "https://rwightman.github.io/pytorch-image-models/"], ["gluon_resnet50_v1d", "Classification", "natural", "imagenet1k", "61 x 61 px", "apache-2.0", "25.5 million", "97.48MB", "https://jmlr.org/papers/v21/19-429.html", "https://rwightman.github.io/pytorch-image-models/"], ["gluon_resnet50_v1s", "Classification", "natural", "imagenet1k", "", "apache-2.0", "25.7 million", "97.87MB", "https://jmlr.org/papers/v21/19-429.html", "https://rwightman.github.io/pytorch-image-models/"], ["gluon_resnet101_v1b", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "44.5 million", "169.76MB", "https://jmlr.org/papers/v21/19-429.html", "https://rwightman.github.io/pytorch-image-models/"], ["gluon_resnet101_v1c", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "44.5 million", "169.84MB", "https://jmlr.org/papers/v21/19-429.html", "https://rwightman.github.io/pytorch-image-models/"], ["gluon_resnet101_v1d", "Classification", "natural", "imagenet1k", "61 x 61 px", "apache-2.0", "44.5 million", "169.84MB", "https://jmlr.org/papers/v21/19-429.html", "https://rwightman.github.io/pytorch-image-models/"], ["gluon_resnet101_v1s", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "44.6 million", "170.23MB", "https://jmlr.org/papers/v21/19-429.html", "https://rwightman.github.io/pytorch-image-models/"], ["gluon_resnet152_v1b", "Classification", "natural", "imagenet1k", "", "apache-2.0", "60.1 million", "229.36MB", "https://jmlr.org/papers/v21/19-429.html", "https://rwightman.github.io/pytorch-image-models/"], ["gluon_resnet152_v1c", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "60.1 million", "229.43MB", "https://jmlr.org/papers/v21/19-429.html", "https://rwightman.github.io/pytorch-image-models/"], ["gluon_resnet152_v1d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "60.1 million", "229.44MB", "https://jmlr.org/papers/v21/19-429.html", "https://rwightman.github.io/pytorch-image-models/"], ["gluon_resnet152_v1s", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "60.2 million", "229.83MB", "https://jmlr.org/papers/v21/19-429.html", "https://rwightman.github.io/pytorch-image-models/"], ["gluon_resnext50_32x4d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "25.0 million", "95.36MB", "https://jmlr.org/papers/v21/19-429.html", "https://rwightman.github.io/pytorch-image-models/"], ["gluon_resnext101_32x4d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "44.1 million", "168.28MB", "https://jmlr.org/papers/v21/19-429.html", "https://rwightman.github.io/pytorch-image-models/"], ["gluon_resnext101_64x4d", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "83.4 million", "317.99MB", "https://jmlr.org/papers/v21/19-429.html", "https://rwightman.github.io/pytorch-image-models/"], ["gluon_senet154", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "115.0 million", "438.62MB", "https://jmlr.org/papers/v21/19-429.html", "https://rwightman.github.io/pytorch-image-models/"], ["gluon_seresnext50_32x4d", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "27.5 million", "105.02MB", "https://jmlr.org/papers/v21/19-429.html", "https://rwightman.github.io/pytorch-image-models/"], ["gluon_seresnext101_32x4d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "48.9 million", "186.53MB", "https://jmlr.org/papers/v21/19-429.html", "https://rwightman.github.io/pytorch-image-models/"], ["gluon_seresnext101_64x4d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "88.1 million", "336.24MB", "https://jmlr.org/papers/v21/19-429.html", "https://rwightman.github.io/pytorch-image-models/"], ["gluon_xception65", "Classification", "natural", "imagenet1k", "", "apache-2.0", "39.8 million", "151.94MB", "https://jmlr.org/papers/v21/19-429.html", "https://rwightman.github.io/pytorch-image-models/"], ["hardcorenas_a", "Classification", "natural", "imagenet1k", "", "apache-2.0", "5.3 million", "20.04MB", "https://arxiv.org/abs/2102.11646", "https://rwightman.github.io/pytorch-image-models/"], ["hardcorenas_b", "Classification", "natural", "imagenet1k", "", "apache-2.0", "5.2 million", "19.71MB", "https://arxiv.org/abs/2102.11646", "https://rwightman.github.io/pytorch-image-models/"], ["hardcorenas_c", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "5.5 million", "21.03MB", "https://arxiv.org/abs/2102.11646", "https://rwightman.github.io/pytorch-image-models/"], ["hardcorenas_d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "7.5 million", "28.57MB", "https://arxiv.org/abs/2102.11646", "https://rwightman.github.io/pytorch-image-models/"], ["hardcorenas_e", "Classification", "natural", "imagenet1k", "", "apache-2.0", "8.1 million", "30.74MB", "https://arxiv.org/abs/2102.11646", "https://rwightman.github.io/pytorch-image-models/"], ["hardcorenas_f", "Classification", "natural", "imagenet1k", "", "apache-2.0", "8.2 million", "31.23MB", "https://arxiv.org/abs/2102.11646", "https://rwightman.github.io/pytorch-image-models/"], ["hrnet_w18", "Classification", "natural", "imagenet1k", "", "apache-2.0", "21.3 million", "81.21MB", "https://arxiv.org/abs/1908.07919", "https://rwightman.github.io/pytorch-image-models/"], ["hrnet_w18_small", "Classification", "natural", "imagenet1k", "", "apache-2.0", "13.2 million", "50.27MB", "https://arxiv.org/abs/1908.07919", "https://rwightman.github.io/pytorch-image-models/"], ["hrnet_w18_small_v2", "Classification", "natural", "imagenet1k", "", "apache-2.0", "15.6 million", "59.46MB", "https://arxiv.org/abs/1908.07919", "https://rwightman.github.io/pytorch-image-models/"], ["hrnet_w30", "Classification", "natural", "imagenet1k", "", "apache-2.0", "37.7 million", "143.79MB", "https://arxiv.org/abs/1908.07919", "https://rwightman.github.io/pytorch-image-models/"], ["hrnet_w32", "Classification", "natural", "imagenet1k", "", "apache-2.0", "41.2 million", "157.21MB", "https://arxiv.org/abs/1908.07919", "https://rwightman.github.io/pytorch-image-models/"], ["hrnet_w40", "Classification", "natural", "imagenet1k", "", "apache-2.0", "57.5 million", "219.46MB", "https://arxiv.org/abs/1908.07919", "https://rwightman.github.io/pytorch-image-models/"], ["hrnet_w44", "Classification", "natural", "imagenet1k", "", "apache-2.0", "67.0 million", "255.71MB", "https://arxiv.org/abs/1908.07919", "https://rwightman.github.io/pytorch-image-models/"], ["hrnet_w48", "Classification", "natural", "imagenet1k", "", "apache-2.0", "77.4 million", "295.39MB", "https://arxiv.org/abs/1908.07919", "https://rwightman.github.io/pytorch-image-models/"], ["hrnet_w64", "Classification", "natural", "imagenet1k", "", "apache-2.0", "128.0 million", "488.33MB", "https://arxiv.org/abs/1908.07919", "https://rwightman.github.io/pytorch-image-models/"], ["inception_resnet_v2", "Classification", "natural", "imagenet1k", "107 x 107 px", "apache-2.0", "55.8 million", "212.97MB", "https://arxiv.org/abs/1602.07261", "https://rwightman.github.io/pytorch-image-models/"], ["inception_v4", "Classification", "natural", "imagenet1k", "", "apache-2.0", "42.6 million", "162.72MB", "https://arxiv.org/abs/1602.07261", "https://rwightman.github.io/pytorch-image-models/"], ["legacy_senet154", "Classification", "natural", "imagenet1k", "37 x 37 px", "apache-2.0", "115.0 million", "438.63MB", "https://arxiv.org/abs/1709.01507", "https://rwightman.github.io/pytorch-image-models/"], ["legacy_seresnet18", "Classification", "natural", "imagenet1k", "", "apache-2.0", "11.8 million", "44.92MB", "https://arxiv.org/abs/1709.01507", "https://rwightman.github.io/pytorch-image-models/"], ["legacy_seresnet34", "Classification", "natural", "imagenet1k", "", "apache-2.0", "22.0 million", "83.75MB", "https://arxiv.org/abs/1709.01507", "https://rwightman.github.io/pytorch-image-models/"], ["legacy_seresnet50", "Classification", "natural", "imagenet1k", "", "apache-2.0", "28.1 million", "107.07MB", "https://arxiv.org/abs/1709.01507", "https://rwightman.github.io/pytorch-image-models/"], ["legacy_seresnet101", "Classification", "natural", "imagenet1k", "", "apache-2.0", "49.3 million", "188.01MB", "https://arxiv.org/abs/1709.01507", "https://rwightman.github.io/pytorch-image-models/"], ["legacy_seresnet152", "Classification", "natural", "imagenet1k", "", "apache-2.0", "66.7 million", "254.68MB", "https://arxiv.org/abs/1709.01507", "https://rwightman.github.io/pytorch-image-models/"], ["legacy_seresnext26_32x4d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "16.8 million", "63.99MB", "https://arxiv.org/abs/1709.01507", "https://rwightman.github.io/pytorch-image-models/"], ["legacy_seresnext50_32x4d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "27.5 million", "105.02MB", "https://arxiv.org/abs/1709.01507", "https://rwightman.github.io/pytorch-image-models/"], ["legacy_seresnext101_32x4d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "48.9 million", "186.53MB", "https://arxiv.org/abs/1709.01507", "https://rwightman.github.io/pytorch-image-models/"], ["mixnet_l", "Classification", "natural", "imagenet1k", "", "apache-2.0", "7.4 million", "28.11MB", "https://arxiv.org/abs/1907.09595", "https://rwightman.github.io/pytorch-image-models/"], ["mixnet_m", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "5.0 million", "19.25MB", "https://arxiv.org/abs/1907.09595", "https://rwightman.github.io/pytorch-image-models/"], ["mixnet_s", "Classification", "natural", "imagenet1k", "", "apache-2.0", "4.1 million", "15.87MB", "https://arxiv.org/abs/1907.09595", "https://rwightman.github.io/pytorch-image-models/"], ["mixnet_xl", "Classification", "natural", "imagenet1k", "", "apache-2.0", "11.9 million", "45.61MB", "https://arxiv.org/abs/1907.09595", "https://rwightman.github.io/pytorch-image-models/"], ["mnasnet_100", "Classification", "natural", "imagenet1k", "", "apache-2.0", "4.4 million", "16.66MB", "https://arxiv.org/abs/1807.11626", "https://rwightman.github.io/pytorch-image-models/"], ["mobilenetv2_100", "Classification", "natural", "imagenet1k", "", "apache-2.0", "3.5 million", "13.32MB", "https://arxiv.org/abs/1801.04381", "https://rwightman.github.io/pytorch-image-models/"], ["mobilenetv2_110d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "4.5 million", "17.16MB", "https://arxiv.org/abs/1801.04381", "https://rwightman.github.io/pytorch-image-models/"], ["mobilenetv2_120d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "5.8 million", "22.14MB", "https://arxiv.org/abs/1801.04381", "https://rwightman.github.io/pytorch-image-models/"], ["mobilenetv2_140", "Classification", "natural", "imagenet1k", "", "apache-2.0", "6.1 million", "23.23MB", "https://arxiv.org/abs/1801.04381", "https://rwightman.github.io/pytorch-image-models/"], ["mobilenetv3_large_100", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "5.5 million", "20.89MB", "https://arxiv.org/abs/1905.02244", "https://rwightman.github.io/pytorch-image-models/"], ["mobilenetv3_large_100_miil", "Classification", "natural", "imagenet1k", "", "apache-2.0", "5.5 million", "20.89MB", "https://arxiv.org/abs/1905.02244", "https://rwightman.github.io/pytorch-image-models/"], ["mobilenetv3_large_100_miil_in21k", "Classification", "natural", "imagenet21k_p", "", "apache-2.0", "18.6 million", "70.83MB", "https://arxiv.org/abs/1905.02244", "https://rwightman.github.io/pytorch-image-models/"], ["mobilenetv3_rw", "Classification", "natural", "imagenet1k", "", "apache-2.0", "5.5 million", "20.87MB", "https://arxiv.org/abs/1905.02244", "https://rwightman.github.io/pytorch-image-models/"], ["nasnetalarge", "Classification", "natural", "imagenet1k", "", "apache-2.0", "88.7 million", "338.40MB", "https://github.com/tensorflow/models/tree/master/research/slim", "https://rwightman.github.io/pytorch-image-models/"], ["pit_b_224", "Classification", "natural", "imagenet1k", "", "apache-2.0", "73.8 million", "281.44MB", "https://arxiv.org/abs/2103.16302", "https://rwightman.github.io/pytorch-image-models/"], ["pit_b_distilled_224", "Classification", "natural", "imagenet1k", "", "apache-2.0", "74.8 million", "285.35MB", "https://arxiv.org/abs/2103.16302", "https://rwightman.github.io/pytorch-image-models/"], ["pit_s_224", "Classification", "natural", "imagenet1k", "", "apache-2.0", "23.5 million", "89.54MB", "https://arxiv.org/abs/2103.16302", "https://rwightman.github.io/pytorch-image-models/"], ["pit_s_distilled_224", "Classification", "natural", "imagenet1k", "", "apache-2.0", "24.0 million", "91.74MB", "https://arxiv.org/abs/2103.16302", "https://rwightman.github.io/pytorch-image-models/"], ["pit_ti_224", "Classification", "natural", "imagenet1k", "", "apache-2.0", "4.8 million", "18.53MB", "https://arxiv.org/abs/2103.16302", "https://rwightman.github.io/pytorch-image-models/"], ["pit_ti_distilled_224", "Classification", "natural", "imagenet1k", "", "apache-2.0", "5.1 million", "19.51MB", "https://arxiv.org/abs/2103.16302", "https://rwightman.github.io/pytorch-image-models/"], ["pit_xs_224", "Classification", "natural", "imagenet1k", "", "apache-2.0", "10.6 million", "40.55MB", "https://arxiv.org/abs/2103.16302", "https://rwightman.github.io/pytorch-image-models/"], ["pit_xs_distilled_224", "Classification", "natural", "imagenet1k", "", "apache-2.0", "11.0 million", "42.02MB", "https://arxiv.org/abs/2103.16302", "https://rwightman.github.io/pytorch-image-models/"], ["pnasnet5large", "Classification", "natural", "imagenet1k", "", "apache-2.0", "86.0 million", "328.13MB", "https://arxiv.org/abs/1712.00559", "https://rwightman.github.io/pytorch-image-models/"], ["regnetx_002", "Classification", "natural", "imagenet1k", "", "apache-2.0", "2.7 million", "10.21MB", "https://arxiv.org/abs/2003.13678", "https://rwightman.github.io/pytorch-image-models/"], ["regnetx_004", "Classification", "natural", "imagenet1k", "", "apache-2.0", "5.1 million", "19.62MB", "https://arxiv.org/abs/2003.13678", "https://rwightman.github.io/pytorch-image-models/"], ["regnetx_006", "Classification", "natural", "imagenet1k", "", "apache-2.0", "6.2 million", "23.58MB", "https://arxiv.org/abs/2003.13678", "https://rwightman.github.io/pytorch-image-models/"], ["regnetx_008", "Classification", "natural", "imagenet1k", "", "apache-2.0", "7.2 million", "27.63MB", "https://arxiv.org/abs/2003.13678", "https://rwightman.github.io/pytorch-image-models/"], ["regnetx_016", "Classification", "natural", "imagenet1k", "", "apache-2.0", "9.2 million", "34.99MB", "https://arxiv.org/abs/2003.13678", "https://rwightman.github.io/pytorch-image-models/"], ["regnetx_032", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "15.3 million", "58.25MB", "https://arxiv.org/abs/2003.13678", "https://rwightman.github.io/pytorch-image-models/"], ["regnetx_040", "Classification", "natural", "imagenet1k", "", "apache-2.0", "22.1 million", "84.24MB", "https://arxiv.org/abs/2003.13678", "https://rwightman.github.io/pytorch-image-models/"], ["regnetx_064", "Classification", "natural", "imagenet1k", "", "apache-2.0", "26.2 million", "99.85MB", "https://arxiv.org/abs/2003.13678", "https://rwightman.github.io/pytorch-image-models/"], ["regnetx_080", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "39.5 million", "150.80MB", "https://arxiv.org/abs/2003.13678", "https://rwightman.github.io/pytorch-image-models/"], ["regnetx_120", "Classification", "natural", "imagenet1k", "", "apache-2.0", "46.1 million", "175.71MB", "https://arxiv.org/abs/2003.13678", "https://rwightman.github.io/pytorch-image-models/"], ["regnetx_160", "Classification", "natural", "imagenet1k", "33 x 33 px", "apache-2.0", "54.2 million", "206.86MB", "https://arxiv.org/abs/2003.13678", "https://rwightman.github.io/pytorch-image-models/"], ["regnetx_320", "Classification", "natural", "imagenet1k", "", "apache-2.0", "107.7 million", "410.97MB", "https://arxiv.org/abs/2003.13678", "https://rwightman.github.io/pytorch-image-models/"], ["regnety_002", "Classification", "natural", "imagenet1k", "", "apache-2.0", "3.2 million", "12.04MB", "https://arxiv.org/abs/2003.13678", "https://rwightman.github.io/pytorch-image-models/"], ["regnety_004", "Classification", "natural", "imagenet1k", "", "apache-2.0", "4.3 million", "16.54MB", "https://arxiv.org/abs/2003.13678", "https://rwightman.github.io/pytorch-image-models/"], ["regnety_006", "Classification", "natural", "imagenet1k", "", "apache-2.0", "6.0 million", "23.06MB", "https://arxiv.org/abs/2003.13678", "https://rwightman.github.io/pytorch-image-models/"], ["regnety_008", "Classification", "natural", "imagenet1k", "", "apache-2.0", "6.2 million", "23.85MB", "https://arxiv.org/abs/2003.13678", "https://rwightman.github.io/pytorch-image-models/"], ["regnety_016", "Classification", "natural", "imagenet1k", "", "apache-2.0", "11.2 million", "42.67MB", "https://arxiv.org/abs/2003.13678", "https://rwightman.github.io/pytorch-image-models/"], ["regnety_032", "Classification", "natural", "imagenet1k", "", "apache-2.0", "19.4 million", "74.04MB", "https://arxiv.org/abs/2003.13678", "https://rwightman.github.io/pytorch-image-models/"], ["regnety_040", "Classification", "natural", "imagenet1k", "", "apache-2.0", "20.6 million", "78.67MB", "https://arxiv.org/abs/2003.13678", "https://rwightman.github.io/pytorch-image-models/"], ["regnety_064", "Classification", "natural", "imagenet1k", "", "apache-2.0", "30.5 million", "116.54MB", "https://arxiv.org/abs/2003.13678", "https://rwightman.github.io/pytorch-image-models/"], ["regnety_080", "Classification", "natural", "imagenet1k", "", "apache-2.0", "39.1 million", "149.32MB", "https://arxiv.org/abs/2003.13678", "https://rwightman.github.io/pytorch-image-models/"], ["regnety_120", "Classification", "natural", "imagenet1k", "", "apache-2.0", "51.8 million", "197.53MB", "https://arxiv.org/abs/2003.13678", "https://rwightman.github.io/pytorch-image-models/"], ["regnety_160", "Classification", "natural", "imagenet1k", "", "apache-2.0", "83.5 million", "318.66MB", "https://arxiv.org/abs/2003.13678", "https://rwightman.github.io/pytorch-image-models/"], ["regnety_320", "Classification", "natural", "imagenet1k", "", "apache-2.0", "145.0 million", "553.03MB", "https://arxiv.org/abs/2003.13678", "https://rwightman.github.io/pytorch-image-models/"], ["repvgg_a2", "Classification", "natural", "imagenet1k", "", "apache-2.0", "28.2 million", "107.61MB", "https://arxiv.org/abs/2101.03697", "https://rwightman.github.io/pytorch-image-models/"], ["repvgg_b0", "Classification", "natural", "imagenet1k", "", "apache-2.0", "15.8 million", "60.35MB", "https://arxiv.org/abs/2101.03697", "https://rwightman.github.io/pytorch-image-models/"], ["repvgg_b1", "Classification", "natural", "imagenet1k", "", "apache-2.0", "57.4 million", "219.02MB", "https://arxiv.org/abs/2101.03697", "https://rwightman.github.io/pytorch-image-models/"], ["repvgg_b1g4", "Classification", "natural", "imagenet1k", "", "apache-2.0", "40.0 million", "152.46MB", "https://arxiv.org/abs/2101.03697", "https://rwightman.github.io/pytorch-image-models/"], ["repvgg_b2", "Classification", "natural", "imagenet1k", "", "apache-2.0", "89.0 million", "339.59MB", "https://arxiv.org/abs/2101.03697", "https://rwightman.github.io/pytorch-image-models/"], ["repvgg_b2g4", "Classification", "natural", "imagenet1k", "", "apache-2.0", "61.8 million", "235.58MB", "https://arxiv.org/abs/2101.03697", "https://rwightman.github.io/pytorch-image-models/"], ["repvgg_b3", "Classification", "natural", "imagenet1k", "", "apache-2.0", "123.1 million", "469.52MB", "https://arxiv.org/abs/2101.03697", "https://rwightman.github.io/pytorch-image-models/"], ["repvgg_b3g4", "Classification", "natural", "imagenet1k", "", "apache-2.0", "83.8 million", "319.76MB", "https://arxiv.org/abs/2101.03697", "https://rwightman.github.io/pytorch-image-models/"], ["res2net50_14w_8s", "Classification", "natural", "imagenet1k", "", "apache-2.0", "25.0 million", "95.51MB", "https://arxiv.org/abs/1904.01169", "https://rwightman.github.io/pytorch-image-models/"], ["res2net50_26w_4s", "Classification", "natural", "imagenet1k", "", "apache-2.0", "25.7 million", "97.94MB", "https://arxiv.org/abs/1904.01169", "https://rwightman.github.io/pytorch-image-models/"], ["res2net50_26w_6s", "Classification", "natural", "imagenet1k", "", "apache-2.0", "37.0 million", "141.23MB", "https://arxiv.org/abs/1904.01169", "https://rwightman.github.io/pytorch-image-models/"], ["res2net50_26w_8s", "Classification", "natural", "imagenet1k", "", "apache-2.0", "48.4 million", "184.52MB", "https://arxiv.org/abs/1904.01169", "https://rwightman.github.io/pytorch-image-models/"], ["res2net50_48w_2s", "Classification", "natural", "imagenet1k", "", "apache-2.0", "25.3 million", "96.37MB", "https://arxiv.org/abs/1904.01169", "https://rwightman.github.io/pytorch-image-models/"], ["res2net101_26w_4s", "Classification", "natural", "imagenet1k", "", "apache-2.0", "45.1 million", "172.27MB", "https://arxiv.org/abs/1904.01169", "https://rwightman.github.io/pytorch-image-models/"], ["res2next50", "Classification", "natural", "imagenet1k", "", "apache-2.0", "24.6 million", "94.01MB", "https://arxiv.org/abs/1904.01169", "https://rwightman.github.io/pytorch-image-models/"], ["resnest14d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "10.6 million", "40.45MB", "https://arxiv.org/abs/2004.08955", "https://rwightman.github.io/pytorch-image-models/"], ["resnest26d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "17.1 million", "65.06MB", "https://arxiv.org/abs/2004.08955", "https://rwightman.github.io/pytorch-image-models/"], ["resnest50d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "27.4 million", "104.74MB", "https://arxiv.org/abs/2004.08955", "https://rwightman.github.io/pytorch-image-models/"], ["resnest50d_1s4x24d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "25.6 million", "97.85MB", "https://arxiv.org/abs/2004.08955", "https://rwightman.github.io/pytorch-image-models/"], ["resnest50d_4s2x40d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "30.4 million", "115.87MB", "https://arxiv.org/abs/2004.08955", "https://rwightman.github.io/pytorch-image-models/"], ["resnest101e", "Classification", "natural", "imagenet1k", "", "apache-2.0", "48.2 million", "183.96MB", "https://arxiv.org/abs/2004.08955", "https://rwightman.github.io/pytorch-image-models/"], ["resnest200e", "Classification", "natural", "imagenet1k", "", "apache-2.0", "70.1 million", "267.48MB", "https://arxiv.org/abs/2004.08955", "https://rwightman.github.io/pytorch-image-models/"], ["resnest269e", "Classification", "natural", "imagenet1k", "", "apache-2.0", "110.8 million", "422.70MB", "https://arxiv.org/abs/2004.08955", "https://rwightman.github.io/pytorch-image-models/"], ["resnet18d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "11.7 million", "44.65MB", "https://arxiv.org/abs/1512.03385", "https://rwightman.github.io/pytorch-image-models/"], ["resnet26", "Classification", "natural", "imagenet1k", "", "apache-2.0", "16.0 million", "60.96MB", "https://arxiv.org/abs/1512.03385", "https://rwightman.github.io/pytorch-image-models/"], ["resnet26d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "16.0 million", "61.04MB", "https://arxiv.org/abs/1512.03385", "https://rwightman.github.io/pytorch-image-models/"], ["resnet34", "Classification", "natural", "imagenet1k", "", "apache-2.0", "21.8 million", "83.13MB", "https://arxiv.org/abs/1512.03385", "https://rwightman.github.io/pytorch-image-models/"], ["resnet34d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "21.8 million", "83.20MB", "https://arxiv.org/abs/1512.03385", "https://rwightman.github.io/pytorch-image-models/"], ["resnet50", "Classification", "natural", "imagenet1k", "", "apache-2.0", "25.5 million", "97.40MB", "https://arxiv.org/abs/1512.03385", "https://rwightman.github.io/pytorch-image-models/"], ["resnet50d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "25.5 million", "97.48MB", "https://arxiv.org/abs/1512.03385", "https://rwightman.github.io/pytorch-image-models/"], ["resnet51q", "Classification", "natural", "imagenet1k", "", "apache-2.0", "35.7 million", "136.03MB", "https://arxiv.org/abs/1512.03385", "https://rwightman.github.io/pytorch-image-models/"], ["resnet101d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "44.5 million", "169.84MB", "https://arxiv.org/abs/1512.03385", "https://rwightman.github.io/pytorch-image-models/"], ["resnet152d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "60.1 million", "229.44MB", "https://arxiv.org/abs/1512.03385", "https://rwightman.github.io/pytorch-image-models/"], ["resnet200d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "64.6 million", "246.49MB", "https://arxiv.org/abs/1512.03385", "https://rwightman.github.io/pytorch-image-models/"], ["resnetblur50", "Classification", "natural", "imagenet1k", "", "apache-2.0", "25.5 million", "97.44MB", "https://arxiv.org/abs/1904.11486", "https://rwightman.github.io/pytorch-image-models/"], ["resnetrs50", "Classification", "natural", "imagenet1k", "", "apache-2.0", "35.7 million", "136.07MB", "https://arxiv.org/abs/2103.07579", "https://rwightman.github.io/pytorch-image-models/"], ["resnetrs101", "Classification", "natural", "imagenet1k", "", "apache-2.0", "63.6 million", "242.53MB", "https://arxiv.org/abs/2103.07579", "https://rwightman.github.io/pytorch-image-models/"], ["resnetrs152", "Classification", "natural", "imagenet1k", "", "apache-2.0", "86.5 million", "330.21MB", "https://arxiv.org/abs/2103.07579", "https://rwightman.github.io/pytorch-image-models/"], ["resnetrs200", "Classification", "natural", "imagenet1k", "", "apache-2.0", "93.1 million", "355.32MB", "https://arxiv.org/abs/2103.07579", "https://rwightman.github.io/pytorch-image-models/"], ["resnetrs270", "Classification", "natural", "imagenet1k", "", "apache-2.0", "129.7 million", "495.04MB", "https://arxiv.org/abs/2103.07579", "https://rwightman.github.io/pytorch-image-models/"], ["resnetrs350", "Classification", "natural", "imagenet1k", "", "apache-2.0", "163.8 million", "625.00MB", "https://arxiv.org/abs/2103.07579", "https://rwightman.github.io/pytorch-image-models/"], ["resnetrs420", "Classification", "natural", "imagenet1k", "", "apache-2.0", "191.7 million", "731.48MB", "https://arxiv.org/abs/2103.07579", "https://rwightman.github.io/pytorch-image-models/"], ["resnext50_32x4d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "25.0 million", "95.36MB", "https://arxiv.org/abs/1611.05431", "https://rwightman.github.io/pytorch-image-models/"], ["resnext50d_32x4d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "25.0 million", "95.43MB", "https://arxiv.org/abs/1611.05431", "https://rwightman.github.io/pytorch-image-models/"], ["rexnet_100", "Classification", "natural", "imagenet1k", "", "apache-2.0", "4.8 million", "18.29MB", "https://arxiv.org/abs/2007.00992", "https://rwightman.github.io/pytorch-image-models/"], ["rexnet_130", "Classification", "natural", "imagenet1k", "", "apache-2.0", "7.5 million", "28.80MB", "https://arxiv.org/abs/2007.00992", "https://rwightman.github.io/pytorch-image-models/"], ["rexnet_150", "Classification", "natural", "imagenet1k", "", "apache-2.0", "9.7 million", "37.07MB", "https://arxiv.org/abs/2007.00992", "https://rwightman.github.io/pytorch-image-models/"], ["rexnet_200", "Classification", "natural", "imagenet1k", "", "apache-2.0", "16.3 million", "62.36MB", "https://arxiv.org/abs/2007.00992", "https://rwightman.github.io/pytorch-image-models/"], ["selecsls42b", "Classification", "natural", "imagenet1k", "", "apache-2.0", "32.4 million", "123.79MB", "https://arxiv.org/abs/1907.00837", "https://rwightman.github.io/pytorch-image-models/"], ["selecsls60", "Classification", "natural", "imagenet1k", "", "apache-2.0", "30.7 million", "116.96MB", "https://arxiv.org/abs/1907.00837", "https://rwightman.github.io/pytorch-image-models/"], ["selecsls60b", "Classification", "natural", "imagenet1k", "", "apache-2.0", "32.8 million", "124.99MB", "https://arxiv.org/abs/1907.00837", "https://rwightman.github.io/pytorch-image-models/"], ["semnasnet_100", "Classification", "natural", "imagenet1k", "", "apache-2.0", "3.9 million", "14.78MB", "https://arxiv.org/abs/1807.11626", "https://rwightman.github.io/pytorch-image-models/"], ["seresnet50", "Classification", "natural", "imagenet1k", "", "apache-2.0", "28.1 million", "107.07MB", "https://arxiv.org/abs/1709.01507", "https://rwightman.github.io/pytorch-image-models/"], ["seresnet152d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "66.8 million", "254.76MB", "https://arxiv.org/abs/1709.01507", "https://rwightman.github.io/pytorch-image-models/"], ["seresnext26d_32x4d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "16.8 million", "64.06MB", "https://arxiv.org/abs/1709.01507", "https://rwightman.github.io/pytorch-image-models/"], ["seresnext26t_32x4d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "16.8 million", "64.05MB", "https://arxiv.org/abs/1709.01507", "https://rwightman.github.io/pytorch-image-models/"], ["seresnext50_32x4d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "27.5 million", "105.02MB", "https://arxiv.org/abs/1709.01507", "https://rwightman.github.io/pytorch-image-models/"], ["skresnet18", "Classification", "natural", "imagenet1k", "", "apache-2.0", "12.0 million", "45.60MB", "https://arxiv.org/abs/1903.06586", "https://rwightman.github.io/pytorch-image-models/"], ["skresnet34", "Classification", "natural", "imagenet1k", "", "apache-2.0", "22.3 million", "84.98MB", "https://arxiv.org/abs/1903.06586", "https://rwightman.github.io/pytorch-image-models/"], ["skresnext50_32x4d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "27.4 million", "104.70MB", "https://arxiv.org/abs/1903.06586", "https://rwightman.github.io/pytorch-image-models/"], ["spnasnet_100", "Classification", "natural", "imagenet1k", "", "apache-2.0", "4.4 million", "16.80MB", "https://arxiv.org/abs/1904.02877", "https://rwightman.github.io/pytorch-image-models/"], ["ssl_resnet18", "Classification", "natural", "imagenet1k", "", "apache-2.0", "11.7 million", "44.58MB", "https://arxiv.org/abs/1905.00546", "https://rwightman.github.io/pytorch-image-models/"], ["ssl_resnet50", "Classification", "natural", "imagenet1k", "", "apache-2.0", "25.5 million", "97.40MB", "https://arxiv.org/abs/1905.00546", "https://rwightman.github.io/pytorch-image-models/"], ["ssl_resnext50_32x4d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "25.0 million", "95.36MB", "https://arxiv.org/abs/1905.00546", "https://rwightman.github.io/pytorch-image-models/"], ["ssl_resnext101_32x4d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "44.1 million", "168.28MB", "https://arxiv.org/abs/1905.00546", "https://rwightman.github.io/pytorch-image-models/"], ["ssl_resnext101_32x8d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "88.7 million", "338.35MB", "https://arxiv.org/abs/1905.00546", "https://rwightman.github.io/pytorch-image-models/"], ["ssl_resnext101_32x16d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "193.9 million", "739.54MB", "https://arxiv.org/abs/1905.00546", "https://rwightman.github.io/pytorch-image-models/"], ["swsl_resnet18", "Classification", "natural", "imagenet1k", "", "apache-2.0", "11.7 million", "44.58MB", "https://arxiv.org/abs/1905.00546", "https://rwightman.github.io/pytorch-image-models/"], ["swsl_resnet50", "Classification", "natural", "imagenet1k", "", "apache-2.0", "25.5 million", "97.40MB", "https://arxiv.org/abs/1905.00546", "https://rwightman.github.io/pytorch-image-models/"], ["swsl_resnext50_32x4d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "25.0 million", "95.36MB", "https://arxiv.org/abs/1905.00546", "https://rwightman.github.io/pytorch-image-models/"], ["swsl_resnext101_32x4d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "44.1 million", "168.28MB", "https://arxiv.org/abs/1905.00546", "https://rwightman.github.io/pytorch-image-models/"], ["swsl_resnext101_32x8d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "88.7 million", "338.35MB", "https://arxiv.org/abs/1905.00546", "https://rwightman.github.io/pytorch-image-models/"], ["swsl_resnext101_32x16d", "Classification", "natural", "imagenet1k", "", "apache-2.0", "193.9 million", "739.54MB", "https://arxiv.org/abs/1905.00546", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_b0", "Classification", "natural", "imagenet1k", "", "apache-2.0", "5.3 million", "20.13MB", "https://arxiv.org/abs/1905.11946", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_b0_ap", "Classification", "natural", "imagenet1k", "", "apache-2.0", "5.3 million", "20.13MB", "https://arxiv.org/abs/1911.09665", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_b0_ns", "Classification", "natural", "imagenet1k", "", "apache-2.0", "5.3 million", "20.13MB", "https://arxiv.org/abs/1911.04252", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_b1", "Classification", "natural", "imagenet1k", "", "apache-2.0", "7.8 million", "29.66MB", "https://arxiv.org/abs/1905.11946", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_b1_ap", "Classification", "natural", "imagenet1k", "", "apache-2.0", "7.8 million", "29.66MB", "https://arxiv.org/abs/1911.09665", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_b1_ns", "Classification", "natural", "imagenet1k", "", "apache-2.0", "7.8 million", "29.66MB", "https://arxiv.org/abs/1911.04252", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_b2", "Classification", "natural", "imagenet1k", "", "apache-2.0", "9.1 million", "34.67MB", "https://arxiv.org/abs/1905.11946", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_b2_ap", "Classification", "natural", "imagenet1k", "", "apache-2.0", "9.1 million", "34.67MB", "https://arxiv.org/abs/1911.09665", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_b2_ns", "Classification", "natural", "imagenet1k", "", "apache-2.0", "9.1 million", "34.67MB", "https://arxiv.org/abs/1911.04252", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_b3", "Classification", "natural", "imagenet1k", "", "apache-2.0", "12.2 million", "46.55MB", "https://arxiv.org/abs/1905.11946", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_b3_ap", "Classification", "natural", "imagenet1k", "", "apache-2.0", "12.2 million", "46.55MB", "https://arxiv.org/abs/1911.09665", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_b3_ns", "Classification", "natural", "imagenet1k", "", "apache-2.0", "12.2 million", "46.55MB", "https://arxiv.org/abs/1911.04252", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_b4", "Classification", "natural", "imagenet1k", "", "apache-2.0", "19.3 million", "73.60MB", "https://arxiv.org/abs/1905.11946", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_b4_ap", "Classification", "natural", "imagenet1k", "", "apache-2.0", "19.3 million", "73.60MB", "https://arxiv.org/abs/1911.09665", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_b4_ns", "Classification", "natural", "imagenet1k", "", "apache-2.0", "19.3 million", "73.60MB", "https://arxiv.org/abs/1911.04252", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_b5", "Classification", "natural", "imagenet1k", "", "apache-2.0", "30.3 million", "115.67MB", "https://arxiv.org/abs/1905.11946", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_b5_ap", "Classification", "natural", "imagenet1k", "", "apache-2.0", "30.3 million", "115.67MB", "https://arxiv.org/abs/1911.09665", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_b5_ns", "Classification", "natural", "imagenet1k", "", "apache-2.0", "30.3 million", "115.67MB", "https://arxiv.org/abs/1911.04252", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_b6", "Classification", "natural", "imagenet1k", "", "apache-2.0", "42.9 million", "163.84MB", "https://arxiv.org/abs/1905.11946", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_b6_ap", "Classification", "natural", "imagenet1k", "", "apache-2.0", "42.9 million", "163.84MB", "https://arxiv.org/abs/1911.09665", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_b6_ns", "Classification", "natural", "imagenet1k", "", "apache-2.0", "42.9 million", "163.84MB", "https://arxiv.org/abs/1911.04252", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_b7", "Classification", "natural", "imagenet1k", "", "apache-2.0", "66.2 million", "252.59MB", "https://arxiv.org/abs/1905.11946", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_b7_ap", "Classification", "natural", "imagenet1k", "", "apache-2.0", "66.2 million", "252.59MB", "https://arxiv.org/abs/1911.09665", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_b7_ns", "Classification", "natural", "imagenet1k", "", "apache-2.0", "66.2 million", "252.59MB", "https://arxiv.org/abs/1911.04252", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_b8", "Classification", "natural", "imagenet1k", "", "apache-2.0", "87.2 million", "332.83MB", "https://arxiv.org/abs/1905.11946", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_b8_ap", "Classification", "natural", "imagenet1k", "", "apache-2.0", "87.2 million", "332.83MB", "https://arxiv.org/abs/1911.09665", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_el", "Classification", "natural", "imagenet1k", "", "apache-2.0", "10.5 million", "40.25MB", "https://ai.googleblog.com/2019/08/efficientnet-edgetpu-creating.html", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_em", "Classification", "natural", "imagenet1k", "", "apache-2.0", "6.9 million", "26.21MB", "https://ai.googleblog.com/2019/08/efficientnet-edgetpu-creating.html", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_es", "Classification", "natural", "imagenet1k", "", "apache-2.0", "5.4 million", "20.67MB", "https://ai.googleblog.com/2019/08/efficientnet-edgetpu-creating.html", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_l2_ns", "Classification", "natural", "imagenet1k", "", "apache-2.0", "479.8 million", "1.79GB", "https://arxiv.org/abs/1911.04252", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_l2_ns_475", "Classification", "natural", "imagenet1k", "", "apache-2.0", "479.8 million", "1.79GB", "https://arxiv.org/abs/1911.04252", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_lite0", "Classification", "natural", "imagenet1k", "", "apache-2.0", "4.6 million", "17.69MB", "https://arxiv.org/abs/1905.11946", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_lite1", "Classification", "natural", "imagenet1k", "", "apache-2.0", "5.4 million", "20.59MB", "https://arxiv.org/abs/1905.11946", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_lite2", "Classification", "natural", "imagenet1k", "", "apache-2.0", "6.1 million", "23.16MB", "https://arxiv.org/abs/1905.11946", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_lite3", "Classification", "natural", "imagenet1k", "", "apache-2.0", "8.2 million", "31.15MB", "https://arxiv.org/abs/1905.11946", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnet_lite4", "Classification", "natural", "imagenet1k", "", "apache-2.0", "13.0 million", "49.44MB", "https://arxiv.org/abs/1905.11946", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnetv2_b0", "Classification", "natural", "imagenet1k", "", "apache-2.0", "7.1 million", "27.16MB", "https://arxiv.org/abs/2104.00298", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnetv2_b1", "Classification", "natural", "imagenet1k", "", "apache-2.0", "8.1 million", "30.96MB", "https://arxiv.org/abs/2104.00298", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnetv2_b2", "Classification", "natural", "imagenet1k", "", "apache-2.0", "10.1 million", "38.40MB", "https://arxiv.org/abs/2104.00298", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnetv2_b3", "Classification", "natural", "imagenet1k", "", "apache-2.0", "14.3 million", "54.61MB", "https://arxiv.org/abs/2104.00298", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnetv2_l", "Classification", "natural", "imagenet1k", "", "apache-2.0", "118.3 million", "451.23MB", "https://arxiv.org/abs/2104.00298", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnetv2_l_in21ft1k", "Classification", "natural", "imagenet1k", "", "apache-2.0", "118.3 million", "451.23MB", "https://arxiv.org/abs/2104.00298", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnetv2_l_in21k", "Classification", "natural", "imagenet21k_e", "", "apache-2.0", "145.0 million", "553.08MB", "https://arxiv.org/abs/2104.00298", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnetv2_m", "Classification", "natural", "imagenet1k", "", "apache-2.0", "54.0 million", "206.05MB", "https://arxiv.org/abs/2104.00298", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnetv2_m_in21ft1k", "Classification", "natural", "imagenet1k", "", "apache-2.0", "54.0 million", "206.05MB", "https://arxiv.org/abs/2104.00298", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnetv2_m_in21k", "Classification", "natural", "imagenet21k_e", "", "apache-2.0", "80.7 million", "307.90MB", "https://arxiv.org/abs/2104.00298", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnetv2_s", "Classification", "natural", "imagenet1k", "", "apache-2.0", "21.4 million", "81.62MB", "https://arxiv.org/abs/2104.00298", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnetv2_s_in21ft1k", "Classification", "natural", "imagenet1k", "", "apache-2.0", "21.4 million", "81.62MB", "https://arxiv.org/abs/2104.00298", "https://rwightman.github.io/pytorch-image-models/"], ["tf_efficientnetv2_s_in21k", "Classification", "natural", "imagenet21k_e", "", "apache-2.0", "48.1 million", "183.48MB", "https://arxiv.org/abs/2104.00298", "https://rwightman.github.io/pytorch-image-models/"], ["tf_inception_v3", "Classification", "natural", "imagenet1k", "", "apache-2.0", "23.8 million", "90.88MB", "https://arxiv.org/abs/1512.00567", "https://rwightman.github.io/pytorch-image-models/"], ["tf_mixnet_l", "Classification", "natural", "imagenet1k", "", "apache-2.0", "7.4 million", "28.15MB", "https://arxiv.org/abs/1907.09595", "https://rwightman.github.io/pytorch-image-models/"], ["tf_mixnet_m", "Classification", "natural", "imagenet1k", "", "apache-2.0", "5.0 million", "19.29MB", "https://arxiv.org/abs/1907.09595", "https://rwightman.github.io/pytorch-image-models/"], ["tf_mixnet_s", "Classification", "natural", "imagenet1k", "", "apache-2.0", "4.1 million", "15.90MB", "https://arxiv.org/abs/1907.09595", "https://rwightman.github.io/pytorch-image-models/"], ["tf_mobilenetv3_large_075", "Classification", "natural", "imagenet1k", "", "apache-2.0", "4.0 million", "15.23MB", "https://arxiv.org/abs/1905.02244", "https://rwightman.github.io/pytorch-image-models/"], ["tf_mobilenetv3_large_100", "Classification", "natural", "imagenet1k", "", "apache-2.0", "5.5 million", "20.90MB", "https://arxiv.org/abs/1905.02244", "https://rwightman.github.io/pytorch-image-models/"], ["tf_mobilenetv3_large_minimal_100", "Classification", "natural", "imagenet1k", "", "apache-2.0", "3.9 million", "14.94MB", "https://arxiv.org/abs/1905.02244", "https://rwightman.github.io/pytorch-image-models/"], ["tf_mobilenetv3_small_075", "Classification", "natural", "imagenet1k", "", "apache-2.0", "2.0 million", "7.80MB", "https://arxiv.org/abs/1905.02244", "https://rwightman.github.io/pytorch-image-models/"], ["tf_mobilenetv3_small_100", "Classification", "natural", "imagenet1k", "", "apache-2.0", "2.5 million", "9.70MB", "https://arxiv.org/abs/1905.02244", "https://rwightman.github.io/pytorch-image-models/"], ["tf_mobilenetv3_small_minimal_100", "Classification", "natural", "imagenet1k", "", "apache-2.0", "2.0 million", "7.80MB", "https://arxiv.org/abs/1905.02244", "https://rwightman.github.io/pytorch-image-models/"], ["twins_pcpvt_base", "Classification", "natural", "imagenet1k", "", "apache-2.0", "43.8 million", "167.32MB", "https://arxiv.org/pdf/2104.13840.pdf", "https://rwightman.github.io/pytorch-image-models/"], ["twins_pcpvt_large", "Classification", "natural", "imagenet1k", "", "apache-2.0", "61.0 million", "232.84MB", "https://arxiv.org/pdf/2104.13840.pdf", "https://rwightman.github.io/pytorch-image-models/"], ["twins_pcpvt_small", "Classification", "natural", "imagenet1k", "", "apache-2.0", "24.1 million", "92.03MB", "https://arxiv.org/pdf/2104.13840.pdf", "https://rwightman.github.io/pytorch-image-models/"], ["twins_svt_base", "Classification", "natural", "imagenet1k", "", "apache-2.0", "56.1 million", "214.03MB", "https://arxiv.org/pdf/2104.13840.pdf", "https://rwightman.github.io/pytorch-image-models/"], ["twins_svt_large", "Classification", "natural", "imagenet1k", "", "apache-2.0", "99.3 million", "378.82MB", "https://arxiv.org/pdf/2104.13840.pdf", "https://rwightman.github.io/pytorch-image-models/"], ["twins_svt_small", "Classification", "natural", "imagenet1k", "", "apache-2.0", "24.1 million", "91.88MB", "https://arxiv.org/pdf/2104.13840.pdf", "https://rwightman.github.io/pytorch-image-models/"], ["visformer_small", "Classification", "natural", "imagenet1k", "", "apache-2.0", "40.2 million", "153.53MB", "https://arxiv.org/abs/2104.12533", "https://rwightman.github.io/pytorch-image-models/"], ["wide_resnet50_2", "Classification", "natural", "imagenet1k", "", "apache-2.0", "68.8 million", "262.65MB", "https://arxiv.org/abs/1605.07146", "https://rwightman.github.io/pytorch-image-models/"], ["xception", "Classification", "natural", "imagenet1k", "", "apache-2.0", "22.8 million", "87.10MB", "https://arxiv.org/abs/1610.02357", "https://rwightman.github.io/pytorch-image-models/"], ["xception41", "Classification", "natural", "imagenet1k", "", "apache-2.0", "26.9 million", "102.68MB", "https://arxiv.org/abs/1610.02357", "https://rwightman.github.io/pytorch-image-models/"], ["xception65", "Classification", "natural", "imagenet1k", "", "apache-2.0", "39.8 million", "151.94MB", "https://arxiv.org/abs/1610.02357", "https://rwightman.github.io/pytorch-image-models/"], ["xception71", "Classification", "natural", "imagenet1k", "", "apache-2.0", "42.2 million", "161.16MB", "https://arxiv.org/abs/1610.02357", "https://rwightman.github.io/pytorch-image-models/"], ["Andriushchenko2020Understanding Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2007.02617", "https://github.com/RobustBench/robustbench"], ["Carmon2019Unlabeled Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/1905.13736", "https://github.com/RobustBench/robustbench"], ["Sehwag2020Hydra Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2002.10509", "https://github.com/RobustBench/robustbench"], ["Wang2020Improving Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://openreview.net/forum?id=rklOg6EFwS", "https://github.com/RobustBench/robustbench"], ["Hendrycks2019Using Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/1901.09960", "https://github.com/RobustBench/robustbench"], ["Rice2020Overfitting Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2002.11569", "https://github.com/RobustBench/robustbench"], ["Zhang2019Theoretically Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/1901.08573", "https://github.com/RobustBench/robustbench"], ["Engstrom2019Robustness Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://github.com/MadryLab/robustness", "https://github.com/RobustBench/robustbench"], ["Chen2020Adversarial Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2003.12862", "https://github.com/RobustBench/robustbench"], ["Huang2020Self Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2002.10319", "https://github.com/RobustBench/robustbench"], ["Pang2020Boosting Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2002.08619", "https://github.com/RobustBench/robustbench"], ["Wong2020Fast Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2001.03994", "https://github.com/RobustBench/robustbench"], ["Ding2020MMA Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://openreview.net/forum?id=HkeryxBtPB", "https://github.com/RobustBench/robustbench"], ["Zhang2019You Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/1905.00877", "https://github.com/RobustBench/robustbench"], ["Zhang2020Attacks Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2002.11242", "https://github.com/RobustBench/robustbench"], ["Wu2020Adversarial_extra Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2004.05884", "https://github.com/RobustBench/robustbench"], ["Wu2020Adversarial Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2004.05884", "https://github.com/RobustBench/robustbench"], ["Gowal2020Uncovering_70_16 Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2010.03593", "https://github.com/RobustBench/robustbench"], ["Gowal2020Uncovering_70_16_extra Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2010.03593", "https://github.com/RobustBench/robustbench"], ["Gowal2020Uncovering_34_20 Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2010.03593", "https://github.com/RobustBench/robustbench"], ["Gowal2020Uncovering_28_10_extra Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2010.03593", "https://github.com/RobustBench/robustbench"], ["Sehwag2021Proxy Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2104.09425", "https://github.com/RobustBench/robustbench"], ["Sehwag2021Proxy_R18 Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2104.09425", "https://github.com/RobustBench/robustbench"], ["Sitawarin2020Improving Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2003.09347", "https://github.com/RobustBench/robustbench"], ["Chen2020Efficient Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2010.01278", "https://github.com/RobustBench/robustbench"], ["Cui2020Learnable_34_20 Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2011.11164", "https://github.com/RobustBench/robustbench"], ["Cui2020Learnable_34_10 Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2011.11164", "https://github.com/RobustBench/robustbench"], ["Zhang2020Geometry Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2010.01736", "https://github.com/RobustBench/robustbench"], ["Rebuffi2021Fixing_28_10_cutmix_ddpm Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2103.01946", "https://github.com/RobustBench/robustbench"], ["Rebuffi2021Fixing_106_16_cutmix_ddpm Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2103.01946", "https://github.com/RobustBench/robustbench"], ["Rebuffi2021Fixing_70_16_cutmix_ddpm Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2103.01946", "https://github.com/RobustBench/robustbench"], ["Rebuffi2021Fixing_70_16_cutmix_extra Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2103.01946", "https://github.com/RobustBench/robustbench"], ["Sridhar2021Robust Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2106.02078", "https://github.com/RobustBench/robustbench"], ["Sridhar2021Robust_34_15 Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2106.02078", "https://github.com/RobustBench/robustbench"], ["Rebuffi2021Fixing_R18_ddpm Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2103.01946", "https://github.com/RobustBench/robustbench"], ["Rade2021Helper_R18_extra Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://openreview.net/forum?id=BuD2LmNaU3a", "https://github.com/RobustBench/robustbench"], ["Rade2021Helper_R18_ddpm Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://openreview.net/forum?id=BuD2LmNaU3a", "https://github.com/RobustBench/robustbench"], ["Rade2021Helper_extra Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://openreview.net/forum?id=BuD2LmNaU3a", "https://github.com/RobustBench/robustbench"], ["Rade2021Helper_ddpm Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://openreview.net/forum?id=BuD2LmNaU3a", "https://github.com/RobustBench/robustbench"], ["Huang2021Exploring Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2110.03825", "https://github.com/RobustBench/robustbench"], ["Huang2021Exploring_ema Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2110.03825", "https://github.com/RobustBench/robustbench"], ["Addepalli2021Towards_RN18 Linf cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://openreview.net/forum?id=SHB_znlW5G7", "https://github.com/RobustBench/robustbench"], ["Augustin2020Adversarial L2 cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2003.09461", "https://github.com/RobustBench/robustbench"], ["Engstrom2019Robustness L2 cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://github.com/MadryLab/robustness", "https://github.com/RobustBench/robustbench"], ["Rice2020Overfitting L2 cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2002.11569", "https://github.com/RobustBench/robustbench"], ["Rony2019Decoupling L2 cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/1811.09600", "https://github.com/RobustBench/robustbench"], ["Ding2020MMA L2 cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://openreview.net/forum?id=HkeryxBtPB", "https://github.com/RobustBench/robustbench"], ["Wu2020Adversarial L2 cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2004.05884", "https://github.com/RobustBench/robustbench"], ["Gowal2020Uncovering L2 cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2010.03593", "https://github.com/RobustBench/robustbench"], ["Gowal2020Uncovering_extra L2 cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2010.03593", "https://github.com/RobustBench/robustbench"], ["Sehwag2021Proxy L2 cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2104.09425", "https://github.com/RobustBench/robustbench"], ["Sehwag2021Proxy_R18 L2 cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2104.09425", "https://github.com/RobustBench/robustbench"], ["Rebuffi2021Fixing_70_16_cutmix_ddpm L2 cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2103.01946", "https://github.com/RobustBench/robustbench"], ["Rebuffi2021Fixing_28_10_cutmix_ddpm L2 cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2103.01946", "https://github.com/RobustBench/robustbench"], ["Rebuffi2021Fixing_70_16_cutmix_extra L2 cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2103.01946", "https://github.com/RobustBench/robustbench"], ["Augustin2020Adversarial_34_10 L2 cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2003.09461", "https://github.com/RobustBench/robustbench"], ["Augustin2020Adversarial_34_10_extra L2 cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2003.09461", "https://github.com/RobustBench/robustbench"], ["Rebuffi2021Fixing_R18_cutmix_ddpm L2 cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2103.01946", "https://github.com/RobustBench/robustbench"], ["Hendrycks2020AugMix_WRN corruptions cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/1912.02781", "https://github.com/RobustBench/robustbench"], ["Hendrycks2020AugMix_ResNeXt corruptions cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/1912.02781", "https://github.com/RobustBench/robustbench"], ["Kireev2021Effectiveness_Gauss50percent corruptions cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2103.02325", "https://github.com/RobustBench/robustbench"], ["Kireev2021Effectiveness_AugMixNoJSD corruptions cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2103.02325", "https://github.com/RobustBench/robustbench"], ["Kireev2021Effectiveness_RLAT corruptions cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2103.02325", "https://github.com/RobustBench/robustbench"], ["Kireev2021Effectiveness_RLATAugMixNoJSD corruptions cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2103.02325", "https://github.com/RobustBench/robustbench"], ["Kireev2021Effectiveness_RLATAugMix corruptions cifar10", "Classification", "natural", "cifar10", "", "custom", NaN, NaN, "https://arxiv.org/abs/2103.02325", "https://github.com/RobustBench/robustbench"], ["Gowal2020Uncovering_extra Linf cifar100", "Classification", "natural", "cifar100", "", "custom", NaN, NaN, "https://arxiv.org/abs/2010.03593", "https://github.com/RobustBench/robustbench"], ["Cui2020Learnable_34_20_LBGAT6 Linf cifar100", "Classification", "natural", "cifar100", "", "custom", NaN, NaN, "https://arxiv.org/abs/2011.11164", "https://github.com/RobustBench/robustbench"], ["Cui2020Learnable_34_10_LBGAT6 Linf cifar100", "Classification", "natural", "cifar100", "", "custom", NaN, NaN, "https://arxiv.org/abs/2011.11164", "https://github.com/RobustBench/robustbench"], ["Chen2020Efficient Linf cifar100", "Classification", "natural", "cifar100", "", "custom", NaN, NaN, "https://arxiv.org/abs/2010.01278", "https://github.com/RobustBench/robustbench"], ["Wu2020Adversarial Linf cifar100", "Classification", "natural", "cifar100", "", "custom", NaN, NaN, "https://arxiv.org/abs/2004.05884", "https://github.com/RobustBench/robustbench"], ["Sitawarin2020Improving Linf cifar100", "Classification", "natural", "cifar100", "", "custom", NaN, NaN, "https://arxiv.org/abs/2003.09347", "https://github.com/RobustBench/robustbench"], ["Hendrycks2019Using Linf cifar100", "Classification", "natural", "cifar100", "", "custom", NaN, NaN, "https://arxiv.org/abs/1901.09960", "https://github.com/RobustBench/robustbench"], ["Rice2020Overfitting Linf cifar100", "Classification", "natural", "cifar100", "", "custom", NaN, NaN, "https://arxiv.org/abs/2002.11569", "https://github.com/RobustBench/robustbench"], ["Rebuffi2021Fixing_70_16_cutmix_ddpm Linf cifar100", "Classification", "natural", "cifar100", "", "custom", NaN, NaN, "https://arxiv.org/abs/2103.01946", "https://github.com/RobustBench/robustbench"], ["Rebuffi2021Fixing_28_10_cutmix_ddpm Linf cifar100", "Classification", "natural", "cifar100", "", "custom", NaN, NaN, "https://arxiv.org/abs/2103.01946", "https://github.com/RobustBench/robustbench"], ["Rebuffi2021Fixing_R18_ddpm Linf cifar100", "Classification", "natural", "cifar100", "", "custom", NaN, NaN, "https://arxiv.org/abs/2103.01946", "https://github.com/RobustBench/robustbench"], ["Rade2021Helper_R18_ddpm Linf cifar100", "Classification", "natural", "cifar100", "", "custom", NaN, NaN, "https://openreview.net/forum?id=BuD2LmNaU3a", "https://github.com/RobustBench/robustbench"], ["Addepalli2021Towards_PARN18 Linf cifar100", "Classification", "natural", "cifar100", "", "custom", NaN, NaN, "https://openreview.net/forum?id=SHB_znlW5G7", "https://github.com/RobustBench/robustbench"], ["Addepalli2021Towards_WRN34 Linf cifar100", "Classification", "natural", "cifar100", "", "custom", NaN, NaN, "https://openreview.net/forum?id=SHB_znlW5G7", "https://github.com/RobustBench/robustbench"], ["Diffenderfer2021Winning_LRR corruptions cifar100", "Classification", "natural", "cifar100", "", "custom", NaN, NaN, "https://arxiv.org/abs/2106.09129", "https://github.com/RobustBench/robustbench"], ["Diffenderfer2021Winning_Binary corruptions cifar100", "Classification", "natural", "cifar100", "", "custom", NaN, NaN, "https://arxiv.org/abs/2106.09129", "https://github.com/RobustBench/robustbench"], ["Gowal2020Uncovering_Linf corruptions cifar100", "Classification", "natural", "cifar100", "", "custom", NaN, NaN, "https://arxiv.org/abs/2010.03593", "https://github.com/RobustBench/robustbench"], ["Gowal2020Uncovering_extra_Linf corruptions cifar100", "Classification", "natural", "cifar100", "", "custom", NaN, NaN, "https://arxiv.org/abs/2010.03593", "https://github.com/RobustBench/robustbench"], ["Hendrycks2020AugMix_WRN corruptions cifar100", "Classification", "natural", "cifar100", "", "custom", NaN, NaN, "https://arxiv.org/abs/1912.02781", "https://github.com/RobustBench/robustbench"], ["Hendrycks2020AugMix_ResNeXt corruptions cifar100", "Classification", "natural", "cifar100", "", "custom", NaN, NaN, "https://arxiv.org/abs/1912.02781", "https://github.com/RobustBench/robustbench"], ["Addepalli2021Towards_PARN18 corruptions cifar100", "Classification", "natural", "cifar100", "", "custom", NaN, NaN, "https://openreview.net/forum?id=SHB_znlW5G7", "https://github.com/RobustBench/robustbench"], ["Addepalli2021Towards_WRN34 corruptions cifar100", "Classification", "natural", "cifar100", "", "custom", NaN, NaN, "https://openreview.net/forum?id=SHB_znlW5G7", "https://github.com/RobustBench/robustbench"], ["Wong2020Fast Linf imagenet", "Classification", "natural", "imagenet1k", "", "custom", NaN, NaN, "https://arxiv.org/abs/2001.03994", "https://github.com/RobustBench/robustbench"], ["Engstrom2019Robustness Linf imagenet", "Classification", "natural", "imagenet1k", "", "custom", NaN, NaN, "https://github.com/MadryLab/robustness", "https://github.com/RobustBench/robustbench"], ["Salman2020Do_R50 Linf imagenet", "Classification", "natural", "imagenet1k", "", "custom", NaN, NaN, "https://arxiv.org/abs/2007.08489", "https://github.com/RobustBench/robustbench"], ["Salman2020Do_R18 Linf imagenet", "Classification", "natural", "imagenet1k", "", "custom", NaN, NaN, "https://arxiv.org/abs/2007.08489", "https://github.com/RobustBench/robustbench"], ["Salman2020Do_50_2 Linf imagenet", "Classification", "natural", "imagenet1k", "", "custom", NaN, NaN, "https://arxiv.org/abs/2007.08489", "https://github.com/RobustBench/robustbench"], ["Geirhos2018_SIN corruptions imagenet", "Classification", "natural", "imagenet1k", "", "custom", NaN, NaN, "https://arxiv.org/abs/1811.12231", "https://github.com/RobustBench/robustbench"], ["Geirhos2018_SIN_IN corruptions imagenet", "Classification", "natural", "imagenet1k", "", "custom", NaN, NaN, "https://arxiv.org/abs/1811.12231", "https://github.com/RobustBench/robustbench"], ["Hendrycks2020Many corruptions imagenet", "Classification", "natural", "imagenet1k", "", "custom", NaN, NaN, "https://arxiv.org/abs/2006.16241", "https://github.com/RobustBench/robustbench"], ["Hendrycks2020AugMix corruptions imagenet", "Classification", "natural", "imagenet1k", "", "custom", NaN, NaN, "https://arxiv.org/abs/1912.02781", "https://github.com/RobustBench/robustbench"], ["Salman2020Do_50_2_Linf corruptions imagenet", "Classification", "natural", "imagenet1k", "", "custom", NaN, NaN, "https://arxiv.org/abs/2007.08489", "https://github.com/RobustBench/robustbench"], ["semcolour EE-CNN", "Colorization", "microscope", "SEMCOLORFUL1.0, custom", "", "mit", NaN, NaN, "https://arxiv.org/abs/1912.07964", "https://github.com/isrugeek/semcolour"], ["MiDaS", "Depth Estimation", "depth", "redweb, diml, movies, megadepth, wsvd, tartanair, hrwsi, apolloscape, blendedmvs, irs", "", "mit", "104.1 million", "397.07MB", "https://arxiv.org/abs/1907.01341", "https://github.com/intel-isl/MiDaS"], ["MiDaS_small", "Depth Estimation", "depth", "redweb, diml, movies, megadepth, wsvd, tartanair, hrwsi, apolloscape, blendedmvs, irs", "", "mit", "16.6 million", "63.23MB", "https://arxiv.org/abs/1907.01341", "https://github.com/intel-isl/MiDaS"], ["UltraFace RFB-320", "Face Detection", "faces", "wider_face/cleaned", "", "mit", "281.1 thousand", "1.21MB", "https://github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB", "https://github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB"], ["googlenet_gender_adience", "Face Detection", "faces", "adience", "", "apache-2.0", "6.0 million", "22.83MB", "https://data.vision.ee.ethz.ch/cvl/publications/papers/proceedings/eth_biwi_01229.pdf", "https://github.com/onnx/models/tree/master/vision/body_analysis/age_gender"], ["vgg_ilsvrc_16_age_chalearn_iccv2015", "Face Detection", "faces", "chalearn_lap_2015", "", "apache-2.0", "134.7 million", "513.75MB", "https://data.vision.ee.ethz.ch/cvl/publications/papers/proceedings/eth_biwi_01229.pdf", "https://github.com/onnx/models/tree/master/vision/body_analysis/age_gender"], ["vgg_ilsvrc_16_age_imdb_wiki", "Face Detection", "faces", "imdb_wiki", "", "apache-2.0", "134.7 million", "513.75MB", "https://data.vision.ee.ethz.ch/cvl/publications/papers/proceedings/eth_biwi_01229.pdf", "https://github.com/onnx/models/tree/master/vision/body_analysis/age_gender"], ["ArcFace LResNet100E-IR", "Face Recognition", "faces", "refined_ms_celeb_1m", "", "apache-2.0", "65.2 million", "248.94MB", "https://arxiv.org/abs/1801.07698", "https://github.com/onnx/models/tree/master/vision/body_analysis/arcface"], ["StarNet (pix2pix) RGB Discriminator", "GAN-Discriminator", "astronomy", "starnet", "", "custom", "1.8 million", "6.76MB", "https://github.com/nekitmm/starnet", "https://github.com/nekitmm/starnet"], ["StarNet (pix2pix) Discriminator", "GAN-Discriminator", "astronomy", "starnet", "", "custom", "1.8 million", "6.76MB", "https://github.com/nekitmm/starnet", "https://github.com/nekitmm/starnet"], ["PGAN", "GAN-Discriminator", "faces", "celeb_a_hq/256", "", "bsd-3-clause", "23.0 million", "87.91MB", "https://arxiv.org/abs/1710.10196", "https://github.com/facebookresearch/pytorch_GAN_zoo"], ["PGAN", "GAN-Discriminator", "faces", "celeb_a_hq/512", "", "bsd-3-clause", "23.1 million", "88.02MB", "https://arxiv.org/abs/1710.10196", "https://github.com/facebookresearch/pytorch_GAN_zoo"], ["PGAN", "GAN-Discriminator", "faces", "celeb_a/128_cropped", "", "bsd-3-clause", "22.9 million", "87.49MB", "https://arxiv.org/abs/1710.10196", "https://github.com/facebookresearch/pytorch_GAN_zoo"], ["PGAN", "GAN-Discriminator", "textures", "dtd", "", "bsd-3-clause", "23.0 million", "87.58MB", "https://arxiv.org/abs/1710.10196", "https://github.com/facebookresearch/pytorch_GAN_zoo"], ["DCGAN", "GAN-Discriminator", "natural", "fashionGen cloth", "", "bsd-3-clause", "2.9 million", "11.17MB", "https://arxiv.org/abs/1511.06434", "https://github.com/facebookresearch/pytorch_GAN_zoo"], ["StyleGAN", "GAN-Discriminator", "faces", "ff_hq/1024", "", "bsd-3-clause", "23.1 million", "88.04MB", "https://arxiv.org/abs/1812.04948", "https://github.com/facebookresearch/pytorch_GAN_zoo"], ["pix2pix_edges2shoes", "GAN-Generator", "shoe edges", "UT Zappos50K", "", "custom", "54.4 million", "207.59MB", "https://arxiv.org/abs/1611.07004", "https://github.com/junyanz/CycleGAN"], ["CycleGAN_monet2photo", "GAN-Generator", "art", "cycle_gan/monet2photo", "", "custom", "11.4 million", "43.47MB", "https://arxiv.org/pdf/1703.10593.pdf", "https://github.com/junyanz/CycleGAN"], ["StackGAN-v2 for dog", "GAN-Generator", "natural", "imagenet1k/dog", "", "mit", "16.5 million", "63.13MB", "https://arxiv.org/abs/1710.10916", "https://github.com/hanzhanggit/StackGAN-v2"], ["StarNet (pix2pix) RGB Generator", "GAN-Generator", "astronomy", "starnet", "", "custom", "54.4 million", "207.61MB", "https://github.com/nekitmm/starnet", "https://github.com/nekitmm/starnet"], ["StarNet (pix2pix) Greyscale", "GAN-Generator", "astronomy", "starnet", "", "custom", "54.4 million", "207.58MB", "https://github.com/nekitmm/starnet", "https://github.com/nekitmm/starnet"], ["pix2pix_sat2map", "GAN-Generator", "map", "cycle_gan/maps", "", "custom", "54.4 million", "207.59MB", "https://arxiv.org/abs/1611.07004", "https://github.com/junyanz/CycleGAN"], ["pix2pix_map2sat", "GAN-Generator", "map", "cycle_gan/maps", "", "custom", "54.4 million", "207.59MB", "https://arxiv.org/abs/1611.07004", "https://github.com/junyanz/CycleGAN"], ["pix2pix_day2night", "GAN-Generator", "scenary", "Transient Attributed", "", "custom", "54.4 million", "207.59MB", "https://arxiv.org/abs/1611.07004", "https://github.com/junyanz/CycleGAN"], ["pix2pix_edges2handbags", "GAN-Generator", "edges", "iGAN Handbags (converted)", "", "custom", "54.4 million", "207.59MB", "https://arxiv.org/abs/1611.07004", "https://github.com/junyanz/CycleGAN"], ["pix2pix_facades_label2image", "GAN-Generator", "natural", "CMP facades", "", "custom", "54.4 million", "207.59MB", "https://arxiv.org/abs/1611.07004", "https://github.com/junyanz/CycleGAN"], ["CycleGAN_orange2apple", "GAN-Generator", "natural", "cycle_gan/apple2orange", "", "custom", "11.4 million", "43.47MB", "https://arxiv.org/pdf/1703.10593.pdf", "https://github.com/junyanz/CycleGAN"], ["CycleGAN_apple2orange", "GAN-Generator", "natural", "cycle_gan/apple2orange", "", "custom", "11.4 million", "43.47MB", "https://arxiv.org/pdf/1703.10593.pdf", "https://github.com/junyanz/CycleGAN"], ["CycleGAN_horse2zebra", "GAN-Generator", "natural", "cycle_gan/horse2zebra", "", "custom", "11.4 million", "43.47MB", "https://arxiv.org/pdf/1703.10593.pdf", "https://github.com/junyanz/CycleGAN"], ["CycleGAN_zebra2horse", "GAN-Generator", "natural", "cycle_gan/horse2zebra", "", "custom", "11.4 million", "43.47MB", "https://arxiv.org/pdf/1703.10593.pdf", "https://github.com/junyanz/CycleGAN"], ["CycleGAN_style_monet", "GAN-Generator", "art", "cycle_gan/monet2photo", "", "custom", "11.4 million", "43.47MB", "https://arxiv.org/pdf/1703.10593.pdf", "https://github.com/junyanz/CycleGAN"], ["CycleGAN_style_vangogh", "GAN-Generator", "art", "cycle_gan/vangogh2photo", "", "custom", "11.4 million", "43.47MB", "https://arxiv.org/pdf/1703.10593.pdf", "https://github.com/junyanz/CycleGAN"], ["CycleGAN_style_cezanne", "GAN-Generator", "art", "cycle_gan/cezanne2photo", "", "custom", "11.4 million", "43.47MB", "https://arxiv.org/pdf/1703.10593.pdf", "https://github.com/junyanz/CycleGAN"], ["CycleGAN_style_ukiyoe", "GAN-Generator", "art", "cycle_gan/ukiyoe2photo", "", "custom", "11.4 million", "43.47MB", "https://arxiv.org/pdf/1703.10593.pdf", "https://github.com/junyanz/CycleGAN"], ["CycleGAN_cityscapes_photo2label", "GAN-Generator", "natural", "cycle_gan/cityscapes", "", "custom", "11.4 million", "43.47MB", "https://arxiv.org/pdf/1703.10593.pdf", "https://github.com/junyanz/CycleGAN"], ["CycleGAN_cityscapes_label2photo", "GAN-Generator", "natural", "cycle_gan/cityscapes", "", "custom", "11.4 million", "43.47MB", "https://arxiv.org/pdf/1703.10593.pdf", "https://github.com/junyanz/CycleGAN"], ["CycleGAN_map2sat", "GAN-Generator", "map", "cycle_gan/maps", "", "custom", "11.4 million", "43.47MB", "https://arxiv.org/pdf/1703.10593.pdf", "https://github.com/junyanz/CycleGAN"], ["CycleGAN_sat2map", "GAN-Generator", "map", "cycle_gan/maps", "", "custom", "11.4 million", "43.47MB", "https://arxiv.org/pdf/1703.10593.pdf", "https://github.com/junyanz/CycleGAN"], ["CycleGAN_iphone2dslr_flower", "GAN-Generator", "natural", "cycle_gan/iphone2dslr_flower", "", "custom", "11.4 million", "43.47MB", "https://arxiv.org/pdf/1703.10593.pdf", "https://github.com/junyanz/CycleGAN"], ["CycleGAN_winter2summer_yosemite", "GAN-Generator", "natural", "cycle_gan/summer2winter_yosemite", "", "custom", "11.4 million", "43.47MB", "https://arxiv.org/pdf/1703.10593.pdf", "https://github.com/junyanz/CycleGAN"], ["CycleGAN_summer2winter_yosemite", "GAN-Generator", "natural", "cycle_gan/summer2winter_yosemite", "", "custom", "11.4 million", "43.47MB", "https://arxiv.org/pdf/1703.10593.pdf", "https://github.com/junyanz/CycleGAN"], ["CycleGAN_facades_photo2label", "GAN-Generator", "natural", "cycle_gan/facades", "", "custom", "11.4 million", "43.47MB", "https://arxiv.org/pdf/1703.10593.pdf", "https://github.com/junyanz/CycleGAN"], ["CycleGAN_facades_label2photo", "GAN-Generator", "natural", "cycle_gan/facades", "", "custom", "11.4 million", "43.47MB", "https://arxiv.org/pdf/1703.10593.pdf", "https://github.com/junyanz/CycleGAN"], ["PGAN", "GAN-Generator", "faces", "celeb_a_hq/256", "", "bsd-3-clause", "23.0 million", "87.93MB", "https://arxiv.org/abs/1710.10196", "https://github.com/facebookresearch/pytorch_GAN_zoo"], ["PGAN", "GAN-Generator", "faces", "celeb_a_hq/512", "", "bsd-3-clause", "23.1 million", "88.04MB", "https://arxiv.org/abs/1710.10196", "https://github.com/facebookresearch/pytorch_GAN_zoo"], ["PGAN", "GAN-Generator", "faces", "celeb_a/128_cropped", "", "bsd-3-clause", "22.9 million", "87.51MB", "https://arxiv.org/abs/1710.10196", "https://github.com/facebookresearch/pytorch_GAN_zoo"], ["PGAN", "GAN-Generator", "textures", "dtd", "", "bsd-3-clause", "23.3 million", "88.97MB", "https://arxiv.org/abs/1710.10196", "https://github.com/facebookresearch/pytorch_GAN_zoo"], ["DCGAN", "GAN-Generator", "natural", "fashionGen cloth", "", "bsd-3-clause", "3.7 million", "14.28MB", "https://arxiv.org/abs/1511.06434", "https://github.com/facebookresearch/pytorch_GAN_zoo"], ["StyleGAN", "GAN-Generator", "faces", "ff_hq/1024", "", "bsd-3-clause", "26.2 million", "100.06MB", "https://arxiv.org/abs/1812.04948", "https://github.com/facebookresearch/pytorch_GAN_zoo"], ["SSD-MobileNetV1", "Object Detection", "natural", "coco/2017", "", "apache-2.0", "6.8 million", "27.92MB", "https://arxiv.org/abs/1704.04861", "https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/ssd-mobilenetv1"], ["UltraFace RB-640", "Object Detection", "faces", "wider_face", "", "apache-2.0", "281.1 thousand", "1.51MB", "https://github.com/Linzaer/Ultra-Light-Fast-Generic-Face-Detector-1MB", "https://github.com/onnx/models/tree/master/vision/body_analysis/ultraface"], ["MediaPipe Face Detection", "Object Detection", "natural", "proprietary", "", "apache-2.0", "101.5 thousand", "415.68KB", "https://arxiv.org/abs/2006.10204", "https://google.github.io/mediapipe/solutions/face_detection"], ["YOLOv5m v4.0", "Object Detection", "natural", "coco/2017", "", "gpl-3.0", "21.4 million", "81.50MB", "https://github.com/ultralytics/yolov5", "https://github.com/ultralytics/yolov5"], ["Task-conditioned Domain Adaptation for Pedestrian Detection in Thermal Imagery (yolov3)", "Object Detection", "thermal", "kaist", "", "mit", "61.5 million", "234.61MB", "https://openreview.net/forum?id=R7kWjSQVM4", "https://github.com/mrkieumy/task-conditioned"], ["Tiny YOLOv2", "Object Detection", "natural", "voc/2007, voc/2012", "", "apache-2.0", "15.9 million", "60.54MB", "https://arxiv.org/pdf/1612.08242.pdf", "https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/tiny-yolov2"], ["SSD", "Object Detection", "natural", "coco/2017", "", "apache-2.0", "20.0 million", "76.64MB", "https://arxiv.org/abs/1512.02325", "https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/ssd"], ["Faster-RCNN", "Object Detection", "natural", "?", "", "apache-2.0", "0", "159.58MB", "https://arxiv.org/abs/1506.01497", "https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/faster-rcnn"], ["RetinaNet", "Object Detection", "natural", "imagenet1k", "", "apache-2.0", "57.1 million", "217.79MB", "https://arxiv.org/abs/1708.02002", "https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/retinanet"], ["Yolo v2-coco", "Object Detection", "natural", "coco/2014", "", "apache-2.0", "51.0 million", "194.50MB", "https://arxiv.org/abs/1612.08242", "https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/yolov2-coco"], ["Yolo v3", "Object Detection", "natural", "coco/2017", "", "apache-2.0", "62.0 million", "236.42MB", "https://arxiv.org/pdf/1804.02767.pdf", "https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/yolov3"], ["Tiny Yolov3", "Object Detection", "natural", "coco/2017", "", "apache-2.0", "8.9 million", "33.87MB", "https://arxiv.org/pdf/1804.02767.pdf", "https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/tiny-yolov3"], ["Yolov4", "Object Detection", "natural", "coco/2017", "", "apache-2.0", "64.3 million", "245.54MB", "https://arxiv.org/abs/2004.10934", "https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/yolov4"], ["YOLOv5s v4.0", "Object Detection", "natural", "coco/2017", "", "gpl-3.0", "7.3 million", "27.75MB", "https://github.com/ultralytics/yolov5", "https://github.com/ultralytics/yolov5"], ["YOLOv5l v4.0", "Object Detection", "natural", "coco/2017", "", "gpl-3.0", "47.0 million", "179.43MB", "https://github.com/ultralytics/yolov5", "https://github.com/ultralytics/yolov5"], ["YOLOv5x v4.0", "Object Detection", "natural", "coco/2017", "", "gpl-3.0", "87.7 million", "334.71MB", "https://github.com/ultralytics/yolov5", "https://github.com/ultralytics/yolov5"], ["detr-resnet-50", "Object Detection", "natural", "coco/2017", "", "apache-2.0", "41.6 million", "158.72MB", "https://arxiv.org/abs/2005.12872", "https://huggingface.co/facebook/detr-resnet-50/"], ["detr-resnet-50-dc5", "Object Detection", "natural", "coco/2017", "", "apache-2.0", "41.6 million", "158.72MB", "https://arxiv.org/abs/2005.12872", "https://huggingface.co/facebook/detr-resnet-50-dc5/"], ["Mask-RCNN", "Object Instance Segmentation", "natural", "?", "", "apache-2.0", "0", "169.68MB", "https://arxiv.org/abs/1703.06870", "https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/mask-rcnn"], ["detr-resnet-50-panoptic", "Panoptic Segmentation", "natural", "coco/2017", "", "apache-2.0", "42.9 million", "163.99MB", "https://arxiv.org/abs/2005.12872", "https://huggingface.co/facebook/detr-resnet-50-panoptic/"], ["detr-resnet-50-dc5-panoptic", "Panoptic Segmentation", "natural", "coco/2017", "", "apache-2.0", "42.9 million", "163.99MB", "https://arxiv.org/abs/2005.12872", "https://huggingface.co/facebook/detr-resnet-50-dc5-panoptic/"], ["DeepSeismic dutchf3_seresnetunet_patch_section_depth", "Segmentation", "seismic", "dutch_f3", "", "mit", "35.4 million", "135.06MB", "https://www.earthdoc.org/content/papers/10.3997/2214-4609.202032086", "https://github.com/microsoft/seismic-deeplearning"], ["CompNet sagital", "Segmentation", "medical ct", "nitrc_iitmean_b0/256", "", "custom", "18.7 million", "71.46MB", "https://arxiv.org/abs/1804.00521", "https://github.com/pnlbwh/CNN-Diffusion-MRIBrain-Segmentation"], ["DeepSeismic penobscot_hrnet_patch_section_depth", "Segmentation", "seismic", "penobscot", "", "mit", "65.8 million", "251.14MB", "https://www.earthdoc.org/content/papers/10.3997/2214-4609.202032086", "https://github.com/microsoft/seismic-deeplearning"], ["DeepSeismic dutchf3_hrnet_patch_section_depth", "Segmentation", "seismic", "dutch_f3", "", "mit", "65.8 million", "251.13MB", "https://www.earthdoc.org/content/papers/10.3997/2214-4609.202032086", "https://github.com/microsoft/seismic-deeplearning"], ["DeepSeismic dutchf3_hrnet_patch_patch_depth", "Segmentation", "seismic", "dutch_f3", "", "mit", "65.8 million", "251.13MB", "https://www.earthdoc.org/content/papers/10.3997/2214-4609.202032086", "https://github.com/microsoft/seismic-deeplearning"], ["CompNet coronal", "Segmentation", "medical mri", "nitrc_iitmean_b0/256", "", "custom", "18.7 million", "71.46MB", "https://arxiv.org/abs/1804.00521", "https://github.com/pnlbwh/CNN-Diffusion-MRIBrain-Segmentation"], ["CompNet axial", "Segmentation", "medical mri", "nitrc_iitmean_b0/256", "", "custom", "18.7 million", "71.46MB", "https://arxiv.org/abs/1804.00521", "https://github.com/pnlbwh/CNN-Diffusion-MRIBrain-Segmentation"], ["unet", "Segmentation", "medical mri", "kaggle/lgg_mri_segmentation", "", "mit", "7.8 million", "29.61MB", "https://arxiv.org/abs/1505.04597", "https://github.com/mateuszbuda/brain-segmentation-pytorch"], ["lungmask UNet", "Segmentation", "medical ct", "ltrc", "", "apache-2.0", "29.0 million", "110.52MB", "https://doi.org/10.1186/s41747-020-00173-2", "https://github.com/JoHof/lungmask"], ["lungmask UNet", "Segmentation", "medical ct", "r231", "", "apache-2.0", "29.0 million", "110.52MB", "https://doi.org/10.1186/s41747-020-00173-2", "https://github.com/JoHof/lungmask"], ["lungmask UNet", "Segmentation", "medical ct", "r231, covidweb", "", "apache-2.0", "29.0 million", "110.52MB", "https://doi.org/10.1186/s41747-020-00173-2", "https://github.com/JoHof/lungmask"], ["DeepLab_ResNeSt50_PContext", "Sematic Segmentation", "natural", "voc/2010", "", "mit", "43.9 million", "167.57MB", "https://arxiv.org/pdf/2004.08955v2.pdf", "https://hangzhang.org/PyTorch-Encoding/model_zoo/segmentation.html#get-pre-trained-model"], ["fcn_resnest50_ade", "Sematic Segmentation", "natural", "ade20k", "", "mit", "37.3 million", "142.38MB", "https://arxiv.org/pdf/2004.08955v2.pdf", "https://hangzhang.org/PyTorch-Encoding/model_zoo/segmentation.html#get-pre-trained-model"], ["U-Net", "Sematic Segmentation", "cars", "kaggle/carvana_image_masking_challenge", "", "gpl-3.0", "17.3 million", "65.85MB", "https://arxiv.org/pdf/1505.04597v1.pdf", "https://github.com/milesial/Pytorch-UNet"], ["PSPNet R101_v1c", "Sematic Segmentation", "natural", "ade20k", "", "mit", "65.7 million", "250.73MB", "https://arxiv.org/abs/1612.01105", "https://github.com/ycszen/TorchSeg"], ["DFN R101_v1c", "Sematic Segmentation", "natural", "voc/2012", "", "mit", "88.3 million", "336.80MB", "https://arxiv.org/abs/1804.09337", "https://github.com/ycszen/TorchSeg"], ["DUC", "Sematic Segmentation", "natural", "cityscapes/semantic_segmentation", "", "apache-2.0", "65.1 million", "248.61MB", "https://arxiv.org/abs/1702.08502", "https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/duc"], ["fcn_resnet50s_ade", "Sematic Segmentation", "natural", "ade20k", "", "mit", "35.5 million", "135.50MB", "https://arxiv.org/pdf/2004.08955v2.pdf", "https://hangzhang.org/PyTorch-Encoding/model_zoo/segmentation.html#get-pre-trained-model"], ["deeplab_resnest50_ade", "Sematic Segmentation", "natural", "ade20k", "", "mit", "44.0 million", "167.74MB", "https://arxiv.org/pdf/2004.08955v2.pdf", "https://hangzhang.org/PyTorch-Encoding/model_zoo/segmentation.html#get-pre-trained-model"], ["deeplab_resnest101_ade", "Sematic Segmentation", "natural", "ade20k", "", "mit", "64.7 million", "246.97MB", "https://arxiv.org/pdf/2004.08955v2.pdf", "https://hangzhang.org/PyTorch-Encoding/model_zoo/segmentation.html#get-pre-trained-model"], ["deeplab_resnest200_ade", "Sematic Segmentation", "natural", "ade20k", "", "mit", "86.6 million", "330.52MB", "https://arxiv.org/pdf/2004.08955v2.pdf", "https://hangzhang.org/PyTorch-Encoding/model_zoo/segmentation.html#get-pre-trained-model"], ["deeplab_resnest269_ade", "Sematic Segmentation", "natural", "ade20k", "", "mit", "127.3 million", "485.75MB", "https://arxiv.org/pdf/2004.08955v2.pdf", "https://hangzhang.org/PyTorch-Encoding/model_zoo/segmentation.html#get-pre-trained-model"], ["fcn_resnest50_pcontext", "Sematic Segmentation", "natural", "voc/2010", "", "mit", "37.2 million", "142.12MB", "https://arxiv.org/pdf/2004.08955v2.pdf", "https://hangzhang.org/PyTorch-Encoding/model_zoo/segmentation.html#get-pre-trained-model"], ["deeplab_resnest101_pcontext", "Sematic Segmentation", "natural", "voc/2010", "", "mit", "64.7 million", "246.79MB", "https://arxiv.org/pdf/2004.08955v2.pdf", "https://hangzhang.org/PyTorch-Encoding/model_zoo/segmentation.html#get-pre-trained-model"], ["deeplab_resnest200_pcontext", "Sematic Segmentation", "natural", "voc/2010", "", "mit", "86.6 million", "330.34MB", "https://arxiv.org/pdf/2004.08955v2.pdf", "https://hangzhang.org/PyTorch-Encoding/model_zoo/segmentation.html#get-pre-trained-model"], ["deeplab_resnest269_pcontext", "Sematic Segmentation", "natural", "voc/2010", "", "mit", "127.2 million", "485.58MB", "https://arxiv.org/pdf/2004.08955v2.pdf", "https://hangzhang.org/PyTorch-Encoding/model_zoo/segmentation.html#get-pre-trained-model"], ["Fast Neural Style Transfer Candy", "Style Transfer", "natural", "coco/2014", "", "apache-2.0", "1.7 million", "6.42MB", "https://arxiv.org/abs/1603.08155", "https://github.com/onnx/models/tree/master/vision/style_transfer/fast_neural_style"], ["Fast Neural Style Transfer Mosaic", "Style Transfer", "natural", "coco/2014", "", "apache-2.0", "1.7 million", "6.42MB", "https://arxiv.org/abs/1603.08155", "https://github.com/onnx/models/tree/master/vision/style_transfer/fast_neural_style"], ["Fast Neural Style Transfer Rain Princess", "Style Transfer", "natural", "coco/2014", "", "apache-2.0", "1.7 million", "6.42MB", "https://arxiv.org/abs/1603.08155", "https://github.com/onnx/models/tree/master/vision/style_transfer/fast_neural_style"], ["Fast Neural Style Transfer Udnie", "Style Transfer", "natural", "coco/2014", "", "apache-2.0", "1.7 million", "6.42MB", "https://arxiv.org/abs/1603.08155", "https://github.com/onnx/models/tree/master/vision/style_transfer/fast_neural_style"], ["Fast Neural Style Transfer Pointilism", "Style Transfer", "natural", "coco/2014", "", "apache-2.0", "1.7 million", "6.42MB", "https://arxiv.org/abs/1603.08155", "https://github.com/onnx/models/tree/master/vision/style_transfer/fast_neural_style"], ["Super Resolution with sub-pixel CNN", "Super Resolution", "natural", "bsd300", "", "apache-2.0", "59.7 thousand", "234.45KB", "https://arxiv.org/abs/1609.05158", "https://github.com/onnx/models/tree/master/vision/super_resolution/sub_pixel_cnn_2016"], ["RealESRGANx2", "Super Resolution", "natural", "sberbank_realesrgan", "", "unknown", "16.7 million", "63.85MB", "https://arxiv.org/abs/2107.10833", "https://github.com/sberbank-ai/Real-ESRGAN"], ["RealESRGANx4", "Super Resolution", "natural", "sberbank_realesrgan", "", "unknown", "16.7 million", "63.83MB", "https://arxiv.org/abs/2107.10833", "https://github.com/sberbank-ai/Real-ESRGAN"], ["RealESRGANx8", "Super Resolution", "natural", "sberbank_realesrgan", "", "unknown", "16.7 million", "63.97MB", "https://arxiv.org/abs/2107.10833", "https://github.com/sberbank-ai/Real-ESRGAN"]];