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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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2025-03-01
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| Serie: | Journal of Imaging |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2313-433X/11/4/102 |
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