arxivcs.CV2026-07-21
Context-structured Video Anomaly Detection with Large Vision-Language Models
Dongjun Kim, Changjae Oh, Andrea Cavallaro, Jeonghoon Mo
Training video anomaly detectors is challenging due to the difficulty and cost of annotating diverse and rare abnormal events. Although recent large vision-language models enable training-free inference, existing approaches mostly rely on holistic inference over sampled video and…