Few-Shot Anomaly Detection via Category-Agnostic Registration Learning

Most existing anomaly detection (AD) methods require a dedicated model for each category. Such a paradigm, despite its promising results, is computationally expensive and inefficient, thereby failing to meet the requirements for realworld applications. Inspired by how humans detect anomalies, by com...

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Bibliographische Detailangaben

Hauptverfasser:	Huang, Chaoqin, Guan, Haoyan, Jiang, Aofan, Zhang, Ya, Spratling, Michael, Wang, Xinchao, Wang, Yanfeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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