Weakly Supervised Video Anomaly Detection Method Based on Multi-scale Feature Fusion and Contrastive Loss

Kun Yang; Zhiming Luo; Shaozi Li

doi:10.1007/978-981-96-2373-0_3

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Weakly Supervised Video Anomaly Detection Method Based on Multi-scale Feature Fusion and Contrastive Loss

Kun Yang Zhiming Luo Shaozi Li

Year: 2025 Communications in computer and information science Pages: 32-46 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-96-2373-0_3

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Keywords:

Computer science Anomaly (physics) Artificial intelligence Scale (ratio) Feature (linguistics) Pattern recognition (psychology) Anomaly detection Geography Cartography Physics Linguistics

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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

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Weakly Supervised Video Anomaly Detection Method Based on Multi-scale Feature Fusion and Contrastive Loss

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