arXiv cs.CL
· Papers
O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning
arXiv:2607.18142v1 Announce Type: cross Abstract: Industrial Video Anomaly Detection (IVAD) aims to identify anomalous objects and events in an industrial process, which is crucial for modern manufacturing and quality control systems. Existing VLM-based anomaly reasoning methods are capable of detecting open-ended anom