Open access
Jul 2026
Learning Fine-Grained Video Anomaly Detection from Normal Videos
This paper proposes a framework for unsupervised anomaly video generation from solely normal videos, leveraging VLMs to generate structured textual descriptions of anomalies conditioned on the perception of this video.
Ruqin Wang, Yasumasa Tamura, Masahito Yamamoto
· Italian National Conference... · 0 citations