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An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
時間 2020-12-24
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GCN
行爲識別
LSTM
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An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition 來自2019CVPR 的基於骨架的動作識別 本文主要貢獻: 1.提過了一個新的針對骨架學習的框架AGC-LSTM network 2.在網絡中使用了attention mechanism 去增加增強關鍵節點的特徵
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相關文章
1.
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
2.
【論文翻譯】An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
3.
paper reading:Part-based Graph Convolutional Network for Action Recognition
4.
DDGCN: A Dynamic Directed Graph Convolutional Network for Action Recognition
5.
Self-Attention Network for Skeleton-based Human Action Recognition
6.
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
7.
譯:Convolutional Two-Stream Network Fusion for Video Action Recognition
8.
Part-based Graph Convolutional Network for Action Recognition論文筆記
9.
[行爲識別]RPAN:An end-to-end recurrent pose-attention network for action recognition
10.
Action Recognition Using Attention-Joints Graph Convolutional Neural Networks翻譯
>>更多相關文章<<