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

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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Bibliographic Details
Main Authors: Qi Zuo, Lian Zou, Cien Fan, Dongqian Li, Hao Jiang, Yifeng Liu
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Sensors
Subjects:
whole and part adaptive fusion
graph convolutional network
skeleton-based human action recognition
Online Access:https://www.mdpi.com/1424-8220/20/24/7149

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