Confidence-Aware Semi-Supervised Vision–Language Contrastive Learning for Abnormal Behavior Recognition
Confidence-aware semi-supervised vision–language contrastive learning (CA-VLC) is proposed, which jointly exploits limited labeled videos and abundant unlabeled videos and combines behavior-only and context-enriched text prototypes through confidence- and agreement-guided semantic fusion.