Skeleton-based Action Recognition

Mask and Compress: Efficient Skeleton-based Action Recognition in Continual Learning
We introduce CHARON (Continual Human Action Recognition On skeletoNs), which maintains consistent performance while operating within an efficient framework. Through techniques like uniform sampling, interpolation, and a memory-efficient training stage based on masking, we achieve improved recognition accuracy while minimizing computational overhead.
Matteo Mosconi, Andriy Sorokin, Aniello Panariello, Angelo Porrello, Jacopo Bonato, Marco Cotogni, Luigi Sabetta, Simone Calderara, Rita Cucchiara
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Mask and Compress: Efficient Skeleton-based Action Recognition in Continual Learning