A spatial attentive and temporal dilated (SATD) GCN for skeleton-based action recognition

Jiaxu Zhang, Gaoxiang Ye, Zhigang Tu, Yongtao Qin, Qianqing Qin, Jinlu Zhang, Jun Liu

Abstract: Current studies have shown that the spatial-temporal graph convolutional network (ST-GCN) is effective for skeleton-based action recognition. However, for the existing ST-GCN-based methods, their tem...