Unsupervised anomaly detection in images using attentional normalizing flows

Xingzhen Wu; Guojun Mao; Shuli Xing

doi:10.1016/j.engappai.2023.107369

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Unsupervised anomaly detection in images using attentional normalizing flows

Xingzhen Wu Guojun Mao Shuli Xing

Year: 2023 Journal: Engineering Applications of Artificial Intelligence Vol: 127 Pages: 107369-107369 Publisher: Elsevier BV

DOI: 10.1016/j.engappai.2023.107369

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Keywords:

Computer science Anomaly detection Inference Pattern recognition (psychology) Focus (optics) Feature (linguistics) Representation (politics) Artificial intelligence Image (mathematics) Scale (ratio) Data mining

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Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

COVID-19 diagnosis using AI

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Digital Media Forensic Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Unsupervised anomaly detection in images using attentional normalizing flows

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