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It is a challenging task to learn rich and multi-scale spatiotemporal semantics from high-dimensional videos, due to large local redundancy and complex global dependency between video frames.
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Tea: Temporal excitation and aggregation for action recognition
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Zhouyong Liu, Shun Luo, Wubin Li, Jingben Lu, Yufan Wu, Chunguo Li, and Luxi Yang · 2011
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Jimmy Ba, Jamie Ryan Kiros, and Geoffrey E. Hinton · 2016
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Ashish Vaswani, Noam M. Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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Non-local neural networks
X. Wang, Ross B. Girshick, Abhinav Gupta, and Kaiming He · 2018
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Slowfast networks for video recognition
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