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
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Temporal Segment Networks: Towards Good Practices for Deep Action Recognition focuses on computer science.
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Utility signals: depth 65/100, grounding 58/100, status medium.
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Research context
3,922
Citations
41
References
Tasks
Computer science, Action recognition, Code (set theory), Deep learning, Pattern recognition (psychology), Convolutional neural network, Physical Sciences
Methods
None detected
Domains
Artificial intelligence, Action (physics), Machine learning, Computer Vision and Pattern Recognition
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