Action Recognition Based on the Fusion of Graph Convolutional Networks with High Order Features
APPLIED SCIENCES-BASEL, pp. 14822020.
Skeleton-based action recognition is a widely used task in action related research because of its clear features and the invariance of human appearances and illumination. Furthermore, it can also effectively improve the robustness of the action recognition. Graph convolutional networks have been implemented on those skeletal data to recog...More
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