Skeleton-based action recognition aims to recognize human actions category given the complete action execution, which has become a research hotspot due to its comprehensive application scenarios in ...
Graph Convolutional Networks (GCNs) have emerged as a leading approach for human skeleton-based action recognition, owing to their capacity to represent skeletal joints as adaptive graphs that ...
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