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Adaptive feature refinement with information preservation for multiclass unsupervised anomaly detection

Abstract Recent advancements in anomaly detection have shown significant potential across various industrial domains. However, a wide range of unpredictable defect types emerge in the real world, and anomaly images are often challenging to obtain, making traditional methods less suitable. To address...

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Príomhchruthaitheoirí: JunHo Lee, Jincheol Yang, Geonwoo Kim, Uyeong Kim, Jimin Roh, Yunseok Song, Hyun-Boo Lee, Heechul Lim, Suk-Ju Kang
Formáid: Artigo
Teanga:Inglês
Foilsithe / Cruthaithe: Taylor & Francis Group 2026-06-01
Sraith:Journal of Information Display
Ábhair:
Rochtain ar líne:https://doi.org/10.1007/s44469-026-00014-9
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