Hierarchical Knowledge Transfer: Cross-Layer Distillation for Industrial Anomaly Detection

There are two problems with traditional knowledge distillation methods in industrial anomaly detection: first, traditional methods mostly use feature alignment between the same layers. The second is that similar or even identical structures are usually used to build teacher-student models, thus limi...

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Hlavní autoři:	Junning Xu, Sanxin Jiang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-03-01
Edice:	Journal of Imaging
Témata:	anomaly detection knowledge distillation cross-layer transfer attention mechanism feature extraction
On-line přístup:	https://www.mdpi.com/2313-433X/11/4/102
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