Personal interaction-aware robust multi-domain representation learning for skeleton-based action recognition via asymmetric contrastive learning
A novel contrastive learning framework, PIA-ACL, which explicitly model the person dimension to construct domain-level local interaction representations, enhancing the model’s capability in understanding multi-person actions and proposing an Asymmetric Multi-Query Augmentation strategy to facilitate contrastive learnin...