Semantic-driven dual consistency learning for weakly supervised video anomaly detection

Yong Su; Yuyu Tan; Simin An; Meng Xing; Zhiyong Feng

doi:10.1016/j.patcog.2024.110898

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JOURNAL ARTICLE

Semantic-driven dual consistency learning for weakly supervised video anomaly detection

Yong Su Yuyu Tan Simin An Meng Xing Zhiyong Feng

Year: 2024 Journal: Pattern Recognition Vol: 157 Pages: 110898-110898 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2024.110898

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Keywords:

Anomaly detection Computer science Consistency (knowledge bases) Artificial intelligence Dual (grammatical number) Anomaly (physics) Pattern recognition (psychology) Natural language processing Machine learning Physics

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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

Data-Driven Disease Surveillance

Health Sciences → Medicine → Epidemiology

Semantic-driven dual consistency learning for weakly supervised video anomaly detection

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