MSAttnFlow: Normalizing flow for unsupervised anomaly detection with multi-scale attention

Zhengnan Hu; Xiangrui Zeng; Yiqun Li; Zhouping Yin; Erli Meng; Ziyu Wei; Leyan Zhu; Zitian Wang

doi:10.1016/j.patcog.2024.111220

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MSAttnFlow: Normalizing flow for unsupervised anomaly detection with multi-scale attention

Zhengnan Hu Xiangrui Zeng Yiqun Li Zhouping Yin Erli Meng Ziyu Wei Leyan Zhu Zitian Wang

Year: 2024 Journal: Pattern Recognition Vol: 161 Pages: 111220-111220 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2024.111220

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Keywords:

Anomaly detection Computer science Scale (ratio) Pattern recognition (psychology) Artificial intelligence Flow (mathematics) Mathematics Geography Cartography

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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

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

MSAttnFlow: Normalizing flow for unsupervised anomaly detection with multi-scale attention

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