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FAD-RNet: A Reverse Distillation Network with Frequency-Decoupled Feature Fusion for Unsupervised Fabric Defect Localization.

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Title: FAD-RNet: A Reverse Distillation Network with Frequency-Decoupled Feature Fusion for Unsupervised Fabric Defect Localization.
Authors: Li, Shuheng1 (AUTHOR), Liu, Jun1 (AUTHOR) liu_jun@cczu.edu.cn, Liang, Jiuzhen1 (AUTHOR), Liu, Hao1 (AUTHOR)
Source: Textiles (2673-7248). Jun2026, Vol. 6 Issue 2, p60. 20p.
Database: Textile Technology Complete
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Header DbId: teh
DbLabel: Textile Technology Complete
An: 194939733
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: FAD-RNet: A Reverse Distillation Network with Frequency-Decoupled Feature Fusion for Unsupervised Fabric Defect Localization.
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  Data: <searchLink fieldCode="JN" term="%22Textiles+%282673-7248%29%22">Textiles (2673-7248)</searchLink>. Jun2026, Vol. 6 Issue 2, p60. 20p.
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/textiles6020060
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 20
        StartPage: 60
    Titles:
      – TitleFull: FAD-RNet: A Reverse Distillation Network with Frequency-Decoupled Feature Fusion for Unsupervised Fabric Defect Localization.
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            NameFull: Li, Shuheng
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          Name:
            NameFull: Liu, Jun
      – PersonEntity:
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            NameFull: Liang, Jiuzhen
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            NameFull: Liu, Hao
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 6
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: Textiles (2673-7248)
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