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FabricMamba: A fabric surface defect detection system based on large kernel attention and visual state space.

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Title: FabricMamba: A fabric surface defect detection system based on large kernel attention and visual state space.
Authors: Bao, Nengsheng1,2 (AUTHOR), Lin, Jiajun1,2 (AUTHOR), Fan, Yuchen3 (AUTHOR), Bao, Runxuan4 (AUTHOR), Simeone, Alessandro1,3 (AUTHOR) alessandro.simeone@polito.it
Source: Engineering Applications of Artificial Intelligence. Dec2025:Part C, Vol. 162, pN.PAG-N.PAG. 1p.
Subjects: Surface defects
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 189010555
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.engappai.2025.112558
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Surface defects
        Type: general
    Titles:
      – TitleFull: FabricMamba: A fabric surface defect detection system based on large kernel attention and visual state space.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Bao, Nengsheng
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            NameFull: Lin, Jiajun
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            NameFull: Fan, Yuchen
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            NameFull: Bao, Runxuan
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            NameFull: Simeone, Alessandro
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            – D: 22
              M: 12
              Text: Dec2025:Part C
              Type: published
              Y: 2025
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              Value: 09521976
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              Value: 162
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            – TitleFull: Engineering Applications of Artificial Intelligence
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