A skeleton-based self-supervised learning method that uses multi-grained feature decorrelation and a new dense spatio-temporal encoder to improve action recognition, retrieval, and detection.
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USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation
A skeleton-based self-supervised learning method that uses multi-grained feature decorrelation and a new dense spatio-temporal encoder to improve action recognition, retrieval, and detection.