Fully Attentional Network for Skeleton-Based Action Recognition
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DOI: 10.1109/access.2023.3247840
Abstract: With the extraordinary ability by representing human body structure as a spatial graph, graph convolution networks (GCNs) have progressed much in skeleton-based action recognition. However, these methods usually use a predefined graph to represent human… read more here.
Keywords: action recognition; graph; action; based action ... See more keywords