Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition

29 Jul 2020 Fanfan Ye ShiLiang Pu Qiaoyong Zhong Chao Li Di Xie Huiming Tang

Graph Convolutional Networks (GCNs) have attracted increasing interests for the task of skeleton-based action recognition. The key lies in the design of the graph structure, which encodes skeleton topology information... (read more)

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