Motif-GCNs With Local and Non-Local Temporal Blocks for Skeleton-Based Action Recognition

Recent works have achieved remarkable performance for action recognition with human skeletal data by utilizing graph convolutional models. Existing models mainly focus on developing graph convolutional operations to encode structural properties of a skeletal graph, whose topology is manually predefi...

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Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 2 vom: 11. Feb., Seite 2009-2023
Auteur principal:	Wen, Yu-Hui (Auteur)
Autres auteurs:	Gao, Lin, Fu, Hongbo, Zhang, Fang-Lue, Xia, Shihong, Liu, Yong-Jin
Format:	Article en ligne
Langue:	English
Publié:	2023
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Journal Article