Whole and Part Adaptive Fusion Graph Convolutional Networks for Skeleton-Based Action Recognition

Spatiotemporal graph convolution has made significant progress in skeleton-based action recognition in recent years. Most of the existing graph convolution methods take all the joints of the human skeleton as the overall modeling graph, ignoring the differences in the movement patterns of various pa...

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Hlavní autoři:	Qi Zuo, Lian Zou, Cien Fan, Dongqian Li, Hao Jiang, Yifeng Liu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2020-12-01
Edice:	Sensors
Témata:	whole and part adaptive fusion graph convolutional network skeleton-based human action recognition
On-line přístup:	https://www.mdpi.com/1424-8220/20/24/7149
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