cs.CV

QVAD: A Question-Centric Agentic Framework for Efficient and Training-Free Video Anomaly Detection

arXiv:2604.03040v1 Announce Type: new
Abstract: Video Anomaly Detection (VAD) is a fundamental challenge in computer vision, particularly due to the open-set nature of anomalies. While recent training-free approaches utilizing Vision-Language Models (…