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, thes...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI AG
2026-07-01
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| Schriftenreihe: | Sensors |
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| Online-Zugang: | https://www.mdpi.com/1424-8220/26/13/4314 |
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