SASI combines skeleton-based graph convolutions with sub-action semantics for improved early action recognition on the BABEL dataset.
Infogcn++: Learning representation by predicting the future for online human skeleton- based action recognition
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SASI: Leveraging Sub-Action Semantics for Robust Early Action Recognition in Human-Robot Interaction
SASI combines skeleton-based graph convolutions with sub-action semantics for improved early action recognition on the BABEL dataset.