OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
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Updated
Aug 14, 2024 - Python
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
An open-source toolbox for action understanding based on PyTorch
[ECCV2024] Video Foundation Models & Data for Multimodal Understanding
OpenTAD is an open-source temporal action detection (TAD) toolbox based on PyTorch.
Official Pytorch Implementation of 'Background Suppression Network for Weakly-supervised Temporal Action Localization' (AAAI-20 Spotlight)
[TIP 2022] End-to-end Temporal Action Detection with Transformer
Official Pytorch Implementation of 'Weakly-supervised Temporal Action Localization by Uncertainty Modeling' (AAAI-21)
[ECCV 2022] Official Pytorch Implementation of the paper : " Zero-Shot Temporal Action Detection via Vision-Language Prompting "
[ICCV 2021] Relaxed Transformer Decoders for Direct Action Proposal Generation
Official Pytorch Implementation of 'Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization' (ICCV-21 Oral)
[CVPR 2022] An Empirical Study of End-to-end Temporal Action Detection
[CVPR2021] CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning
The official repository of our paper "ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization".
TemporalMaxer: Maximize Temporal Context with only Max Pooling for Temporal Action Localization
Implementation for Bottom-Up Temporal Action Localization with Mutual Regularization (ECCV2020)
[CVPR 2022] Fine-grained Temporal Contrastive Learning for Weakly-supervised Temporal Action Localization
Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization (ECCV 2020)
The official implementation of 'Weakly Supervised Temporal Action Localization via Representative Snippet Knowledge Propagation' (CVPR 2022)
[ECCV 2022] Dual-Evidential Learning for Weakly-supervised Temporal Action Localization
The official implementation of 'Proposal-based Multiple Instance Learning for Weakly-supervised Temporal Action Localization' (CVPR 2023)
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