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Ensemble-Based Knowledge Distillation for Video Anomaly Detection

Video anomaly detection has become a vital task for smart video surveillance systems because of its significant potential to minimize the video data to be analyzed by choosing unusual and critical patterns in the scenes. In this paper, we introduce three novel ensemble and knowledge distillation-bas...

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Bibliografiska uppgifter
Huvudupphov: Burçak Asal, Ahmet Burak Can
Materialtyp: Artigo
Språk:Inglês
Utgiven: MDPI AG 2024-01-01
Serie:Applied Sciences
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Länkar:https://www.mdpi.com/2076-3417/14/3/1032
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