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Code repo: https://github.com/Kamino666/LaGoVAD-PreVAD
PreVAD (Pre-training Video Anomaly Dataset) is a large-scale and diverse video anomaly detection dataset, featuring 35,279 annotated videos with multi-level category labels and descriptions that explicitly define anomalies.
@article{liu2025lagovad,
title={Language-guided Open-world Video Anomaly Detection},
author={Liu, Zihao and Wu, Xiaoyu and Wu, Jianqin and Wang, Xuxu and Yang, Linlin},
journal={arXiv preprint arXiv:2503.13160},
year={2025}
}