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Benchmarks
Pixel-level Anomaly Detection on DAGM
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97.3
AUROC
CDO
61.316
70.658
80
89.342
Oct 29, 2023
Dec 12, 2023
Jan 26, 2024
Mar 10, 2024
Apr 24, 2024
Jun 7, 2024
Jul 22, 2024
AUROC
F1 Score (Max)
PRO
Updated 4d ago
Evaluation Results
Method
Method
Links
AUROC
F1 Score (Max)
PRO
CDO
Learning Type=full-sho...
2024.07
97.3
58.3
-
PatchCore
Learning Type=full-sho...
2024.07
97.2
59.4
-
RD4AD
Category=Texture, |C|=...
2023.10
96.8
-
91.9
PatchCore
Category=Texture, |C|=...
2023.10
95.9
-
87.9
AnomalyCLIP
Category=Texture, |C|=...
2023.10
95.6
-
91
AdaCLIP
Learning Type=Zero-Sho...
2024.07
91.5
57.5
-
AdaCLIP
supervised_training=true
2024.07
91.5
57.5
-
DINOV2
supervised_training=false
2024.07
90.9
52
-
APRIL-GAN
supervised_training=true
2024.07
90.3
57.9
-
SAM
supervised_training=false
2024.07
88.6
40.7
-
WinCLIP
supervised_training=false
2024.07
81.3
13.9
-
SAA
supervised_training=false
2024.07
62.7
32.6
-
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