Diffusion-based normality pre-training for weakly supervised video anomaly detection

Suvramalya Basak; Anjali Gautam

doi:10.1016/j.eswa.2024.124013

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Diffusion-based normality pre-training for weakly supervised video anomaly detection

Suvramalya Basak Anjali Gautam

Year: 2024 Journal: Expert Systems with Applications Vol: 251 Pages: 124013-124013 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2024.124013

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Keywords:

Computer science Artificial intelligence Pattern recognition (psychology) Anomaly detection Classifier (UML) Encoder Feature (linguistics) Benchmark (surveying) Normality Pairwise comparison Computer vision Mathematics

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Artificial Immune Systems Applications

Physical Sciences → Engineering → Biomedical Engineering

Diffusion-based normality pre-training for weakly supervised video anomaly detection

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