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Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
時間 2021-01-02
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這篇文章可以說很晦澀了,作者用圖卷積學習骨架數據,大概看一遍文章就知道作者建立了3-D Graph,然後用圖卷積來學習所建立的圖數據特徵,然後再識別行爲。但是這不是晦澀的地方,畢竟一個圖,就看明白了,晦澀的地方是文章中的數據是的維度以及這個維度計算是怎麼在圖卷積中流動的。不類比傳統卷積還好,偏偏現在大多都是拿傳統卷積來講圖卷積,然後,會不自覺的用二維歐幾里德圖形裏的傳統卷積來考慮圖卷積,這就開始蛋
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Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition(動作識別)
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相關文章
1.
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition(動作識別)
2.
論文瀏覽(32) Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
3.
論文翻譯:Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
4.
Graph Convolutional Networks for Temporal Action Localization
5.
paper reading:Part-based Graph Convolutional Network for Action Recognition
6.
DDGCN: A Dynamic Directed Graph Convolutional Network for Action Recognition
7.
學習總結《Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition》
8.
StNet: Local and Global Spatial-Temporal Modeling for Action Recognition
9.
論文:3D Convolutional Neural Networks for Human Action Recognition
10.
Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting總結
>>更多相關文章<<