Industrial Image Anomaly Detection via Synthetic-Anomaly Contrastive Distillation

Industrial image anomaly detection plays a critical role in intelligent manufacturing by automatically identifying defective products through visual inspection. While unsupervised approaches eliminate dependency on annotated anomaly samples, current teacher–student framework-based methods still face...

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Главные авторы:	Junxian Li, Mingxing Li, Shucheng Huang, Gang Wang, Xinjing Zhao
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2025-06-01
Серии:	Sensors
Предметы:	anomaly detection anomaly localization knowledge distillation feature refinement abnormal synthesis
Online-ссылка:	https://www.mdpi.com/1424-8220/25/12/3721
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