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UniFormaly: Towards task-agnostic unified framework for visual anomaly detection.

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Title: UniFormaly: Towards task-agnostic unified framework for visual anomaly detection.
Authors: Lee, Yujin1, Lim, Harin1, Jang, Seoyoon1, Yoon, Hyunsoo1, hs.yoon@yonsei.ac.kr
Source: Pattern Recognition; Jan2026, Vol. 169, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 187282926
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: UniFormaly: Towards task-agnostic unified framework for visual anomaly detection.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187282926
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.patcog.2025.111820
    Languages:
      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: UniFormaly: Towards task-agnostic unified framework for visual anomaly detection.
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            NameFull: Lee, Yujin
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            NameFull: Lim, Harin
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            NameFull: Jang, Seoyoon
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            NameFull: Yoon, Hyunsoo
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            – D: 01
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              Text: Jan2026
              Type: published
              Y: 2026
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              Value: 169
          Titles:
            – TitleFull: Pattern Recognition
              Type: main
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