• Fast-SCNN: Fast Semantic Segmentation Network
• THE EFFECT OF SCENE CONTEXT ON WEAKLY SUPERVISED SEMANTIC SEGMENTATION
• MultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentation

CVPR 2018

• DenseASPP for Semantic Segmentation in StreetScenes
• Context Contrasted Feature and Gated Multi-scale Aggregation for Scene Segmentation
• Recurrent Scene Parsing with Perspective Understanding in the Loop
• Learning a Discriminative Feature Network for Semantic Segmentation
• Context Encoding for Semantic Segmentation
• Dynamic-structured Semantic Propagation Network
• In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
• Error Correction for Dense Semantic Image Labeling

ECCV 2018

• Multi-Scale Context Intertwining for Semantic Segmentation
• Unified Perceptual Parsing for Scene Understanding
• ExFuse: Enhancing Feature Fusion for Semantic Segmentation
• BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
• ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
• PSANet: Point-wise Spatial Attention Network for Scene Parsing
• ICNet for Real-Time Semantic Segmentation on High-Resolution Images
• Adaptive Affinity Fields for Semantic Segmentation
• Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Other 18'conferences

• RelationNet: Learning Deep-Aligned Representation for Semantic Image Segmentation [ICPR]
• High Resolution Feature Recovering for Accelerating Urban Scene Parsing [IJCAI]
• Mix-and-Match Tuning for Self-Supervised Semantic Segmentation [AAAI]
• Spatial As Deep: Spatial CNN for Traffic Scene Understanding Xingang [AAAI]
• A Probabilistic U-Net for Segmentation of Ambiguous Images [NIPS]
• DifNet: Semantic Segmentation by Diffusion Networks [NIPS]
• Searching for Efficient Multi-Scale Architectures for Dense Image Prediction [NIPS]

ArXiv

• Improving Semantic Segmentation via Video Propagation and Label Relaxation
• Evaluating Bayesian Deep Learning Methods for Semantic Segmentation
• Graph-Based Global Reasoning Networks
• ShelfNet for Real-time Semantic Segmentation, Multi-path segmentation network
• CCNet: Criss-Cross Attention for Semantic Segmentation
• Dual Attention Network for Scene Segmentation
• Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation
• Locally Adaptive Learning Loss for Semantic Image Segmentation
• RTSEG: REAL-TIME SEMANTIC SEGMENTATION COMPARATIVE STUDY
• OCNet: Object Context Network for Scene Parsing
• CGNet: A Light-weight Context Guided Network for Semantic Segmentation
• Tree-structured Kronecker Convolutional Network for Semantic Segmentation

CVPR 2017

• Convolutional RandomWalk Networks for Semantic Image Segmentation
• Dilated Residual Networks
• Learning Adaptive Receptive Fields for Deep Image Parsing Network
• Loss Max-Pooling for Semantic Image Segmentation
• Semantic Segmentation via Structured Patch Prediction, Context CRF and Guidance CRF
• Pyramid Scene Parsing Network
• Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes
• Refinenet: Multi-path refinement networks for high-resolution semantic segmentation

ICCV 2017

• Deep Dual Learning for Semantic Image Segmentation
• Semi Supervised Semantic Segmentation Using Generative Adversarial Network
• Scale-adaptive Convolutions for Scene Parsing
• Predicting Deeper into the Future of Semantic Segmentation
• Segmentation-Aware Convolutional Networks Using Local Attention Mask
• Dense and Low-Rank Gaussian CRFs Using Deep Embeddings Siddhartha
• FoveaNet: Perspective-aware Urban Scene Parsing

Other 17'conferences

• Understanding Convolution for Semantic Segmentation[WACV]
• Learning Affinity via Spatial Propagation Networks[NIPS]
• Dual Path Networks[NIPS]
• Semantic Segmentation with Reverse Attention[BMVC]
• The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation[CVPRW]

ArXiv

• Rethinking Atrous Convolution for Semantic Image Segmentation
• Pixel Deconvolutional Networks

CVPR 2016

• Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform

ECCV 2016

• Semantic Object Parsing with Graph LSTM
• Attention to Scale: Scale-aware Semantic Image Segmentation
• Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation

Other 16'conferences

• Semantic Segmentation using Adversarial Networks [NIPSW]
• Speeding up Semantic Segmentation for Autonomous Driving [NIPSW]
• ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation [PyTorch]
• Multi-Scale Context Aggregation by Dilated Convolutions [ICLR] [PyTorch]

ArXiv

• ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
• PixelNet: Towards a General Pixel-level Architecture
• MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving
• High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks

CVPR 2015

• Fully Convolutional Networks for Semantic Segmentation
• Hypercolumns for Object Segmentation and Fine-grained Localization
• Weakly supervised semantic segmentation for social images
• Scene Labeling with LSTM Recurrent Neural Networks
• Learning to Propose Objects [PyTorch] [Project]

ICCV 2015

• Semantic Image Segmentation via Deep Parsing Network
• Learning deconvolution network for semantic segmentation

Other 15'conferences

• U-Net: Convolutional Networks for Biomedical Image Segmentation[MICCAI]
• Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation[NIPS]

ArXiv

• SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation