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Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark.

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Title: Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark.
Authors: Zhang, Jiangning1,2, 186368@zju.edu.cn, Wang, Chengjie2, Li, Xiangtai3, Tian, Guanzhong1, gztian@zju.edu.cn, Xue, Zhucun1, Liu, Yong1, yongliu@iipc.zju.edu.cn, Pang, Guansong4, Tao, Dacheng3
Source: International Journal of Computer Vision; May2026, Vol. 134 Issue 5, p1-23, 23p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193108014
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Computer+Vision%22">International Journal of Computer Vision</searchLink>; May2026, Vol. 134 Issue 5, p1-23, 23p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193108014
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      – Type: doi
        Value: 10.1007/s11263-026-02809-z
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      – Code: eng
        Text: English
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        PageCount: 23
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      – TitleFull: Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark.
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            NameFull: Zhang, Jiangning
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 134
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            – TitleFull: International Journal of Computer Vision
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