From Frames to Events: Rethinking Evaluation in Human-Centric Video Anomaly Detection
arXiv:2604.09327v1 Announce Type: new Abstract: Pose-based Video Anomaly Detection (VAD) has gained significant attention for its privacy-preserving nature and robustness to environmental variations.