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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Principais autores:	Junxian Li, Mingxing Li, Shucheng Huang, Gang Wang, Xinjing Zhao
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-06-01
coleção:	Sensors
Assuntos:	anomaly detection anomaly localization knowledge distillation feature refinement abnormal synthesis
Acesso em linha:	https://www.mdpi.com/1424-8220/25/12/3721
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