GlanceVAD: Exploring Glance Supervision for Label-efficient Video Anomaly Detection

H Zhang, X Wang, X Xu, X Huang, C Han… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years, video anomaly detection has been extensively investigated in both
unsupervised and weakly supervised settings to alleviate costly temporal labeling. Despite …

Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM

H Zhang, X Xu, X Wang, J Zuo, C Han, X Huang… - arXiv preprint arXiv …, 2024 - arxiv.org
Towards open-ended Video Anomaly Detection (VAD), existing methods often exhibit
biased detection when faced with challenging or unseen events and lack interpretability. To …