Motif-GCNs With Local and Non-Local Temporal Blocks for Skeleton-Based Action Recognition
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DOI: 10.1109/tpami.2022.3170511
Abstract: Recent works have achieved remarkable performance for action recognition with human skeletal data by utilizing graph convolutional models. Existing models mainly focus on developing graph convolutional operations to encode structural properties of a skeletal graph,… read more here.
Keywords: temporal blocks; local non; action recognition; non local ... See more keywords