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In this paper, we propose a framework named OCSampler to explore a compact yet effective video representation with one short clip for efficient video recognition.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J Williams · 1992
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Large-scale video classification with convolutional neural networks
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Karen Simonyan and Andrew Zisserman · 2014
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Activitynet: A large-scale video benchmark for human activity understanding
Fabian Caba Heilbron, Victor Escorcia, Bernard Ghanem, and Juan Carlos Niebles · 2015
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Jeffrey Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, and Trevor Darrell · 2015
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Beyond short snippets: Deep networks for video classification
Joe Yue-Hei Ng, Matthew Hausknecht, Sudheendra Vijayanarasimhan, Oriol Vinyals, Rajat Monga, and George Toderici · 2015
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Serena Yeung, Olga Russakovsky, Greg Mori, and Li Fei-Fei · 2016
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Quo vadis, action recognition? a new model and the kinetics dataset
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Yu-Gang Jiang, Zuxuan Wu, Jun Wang, Xiangyang Xue, and Shih-Fu Chang · 2017
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The kinetics human action video dataset
Will Kay, Joao Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, et al · 2017
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Learning spatio-temporal representation with pseudo-3d residual networks
Zhaofan Qiu, Ting Yao, and Tao Mei · 2017
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Saining Xie, Chen Sun, Jonathan Huang, Zhuowen Tu, and Kevin Murphy · 2017
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Hehe Fan, Zhongwen Xu, Linchao Zhu, Chenggang Yan, Jianjun Ge, and Yi Yang · 2018
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Liteeval: A coarse-to-fine framework for resource efficient video recognition
Zuxuan Wu, Caiming Xiong, Yu-Gang Jiang, and Larry S Davis · 2019
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Adaframe: Adaptive frame selection for fast video recognition
Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, and Larry S Davis · 2019
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X3d: Expanding architectures for efficient video recognition
Christoph Feichtenhofer · 2020
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Listen to look: Action recognition by previewing audio
Ruohan Gao, Tae-Hyun Oh, Kristen Grauman, and Lorenzo Torresani · 2020
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2d or not 2d? adaptive 3d convolution selection for efficient video recognition
Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, and Larry S Davis · 2020
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Scsampler: Sampling salient clips from video for efficient action recognition
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Tiny video networks
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Adafuse: Adaptive temporal fusion network for efficient action recognition
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Dynamic sampling networks for efficient action recognition in videos
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Frameexit: Conditional early exiting for efficient video recognition
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Tam: Temporal adaptive module for video recognition
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Dynamic network quantization for efficient video inference
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Adaptive focus for efficient video recognition
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