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We implemented action recgonition model and action localization model in this repo.
- Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification, Xiang Long, Chuang Gan, Gerard de Melo, Jiajun Wu, Xiao Liu, Shilei Wen
- BMN: Boundary-Matching Network for Temporal Action Proposal Generation, Tianwei Lin, Xiao Liu, Xin Li, Errui Ding, Shilei Wen.
- SlowFast Networks for Video Recognition, Feichtenhofer C, Fan H, Malik J, et al.
- Temporal Segment Networks: Towards Good Practices for Deep Action Recognition, Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, Luc Van Gool
- Temporal Shift Module for Efficient Video Understanding, Ji Lin, Chuang Gan, Song Han
- Is Space-Time Attention All You Need for Video Understanding? Gedas Bertasius, Heng Wang, Lorenzo Torresani
- Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition, Sijie Yan, Yuanjun Xiong, Dahua Lin
- Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition, Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu
- Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks, Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu
- TransNet V2: An effective deep network architecture for fast shot transition detection, Tomáš Souček, Jakub Lokoč
- Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation, Lina Liu, Xibin Song, Mengmeng Wang