Adaptive Feature Selection With Reinforcement Learning for Skeleton-Based Action Recognition

Skeleton-based action recognition has attracted extensive attention recently in the computer vision community. Previous studies, especially GCN-based methods, have presented remarkable improvements for this task. However, in existing GCN-based methods, global average pooling is applied to the extrac...

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Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Zheyuan Xu, Yingfu Wang, Jiaqin Jiang, Jian Yao, Liang Li
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	IEEE 2020-01-01
Σειρά:	IEEE Access
Θέματα:	Action recognition skeleton feature selection reinforcement learning graph convolutional network
Διαθέσιμο Online:	https://ieeexplore.ieee.org/document/9260250/
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