UCF-Crime

Researchers introduced VigilFormer, a video anomaly detection framework combining deformable spatio-temporal attention with causal temporal modeling, achieving state-of-the-art AUC scores of 87.83% on…

Researchers have developed CoReVAD, a training-free video anomaly detection framework that uses a single frozen Vision-Language Model to generate both anomaly scores and temporal descriptions without …