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USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation
Contrastive learning has achieved great success in skeleton-based representation learning recently. However, the prevailing methods are predominantly negative-based, necessitating additional momentum encoder and memory bank to get negative samples, w
Externí odkaz:
http://arxiv.org/abs/2412.09220
