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Ruqin Wang

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Open access Jul 2026

Learning Fine-Grained Video Anomaly Detection from Normal Videos

Video anomaly detection (VAD) aims to identify abnormal events in videos. Due to the lack of high-quality training data with detailed annotations, current VAD methods can only produce video-level predictions. To remedy this, several methods attempt to synthesize pseudo video anomalies. However, these methods suffer fro...

Ruqin Wang, Yasumasa Tamura, Masahito Yamamoto · 0 citations

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