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Papers Benchmarks Datasets Tasks

Pixel-level Anomaly Detection research benchmarks – Page 2 · SOTA2 Research

Pixel-level Anomaly Detection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

96.2AUROC

7

Mar 4, 2026

97.3AUROC

7

Mar 4, 2026

Real-IAD 40% Noise Ratio (test)

Dinomaly + MeDS

95.67AUPRO (Pixel)

6

May 27, 2026

Real-IAD 20% Noise Ratio (test)

95.88AUPRO (Pixel)

6

May 27, 2026

Real-IAD 10% Noise Ratio (test)

96.16P-AUPRO

6

May 27, 2026

Real-IAD 0% Noise Ratio (test)

95.97AUPRO (Pixel)

6

May 27, 2026

85.8AUROC

6

Feb 26, 2026

0.922AUROC

6

Feb 26, 2026

97.9AUROC

6

Feb 26, 2026

77.2AUROC

6

Feb 26, 2026

94.2AUROC

6

Feb 26, 2026

VisA 8-1 x 4 with 4 Steps

77.7A-PRO

5

Feb 26, 2026

VisA 8-4 with 1 Step

78.9A-PRO

5

Feb 26, 2026

VisA 11-1 with 1 Step

82A-PRO

5

Feb 26, 2026

MVTec 10 - 1 x 5 with 5 Steps setting

89.2A-PRO

5

Feb 26, 2026

MVTec 3 x 5 with 5 Steps setting

83.8A-PRO

5

Feb 26, 2026

MVTec 10-5 with 1 Step setting

88.9A-PRO

5

Feb 26, 2026

MVTec 14-1 with 1 Step setting

89.8A-PRO

5

Feb 26, 2026

89.9Average ROCAUC

4

Feb 26, 2026

MVTec 1-shot 2-shot 4-shot (test)

97AUROC

2

Feb 26, 2026

VisA 1-shot 2-shot 4-shot (test)

—

—Primary metric

0

Feb 26, 2026

Page 2 of 2

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MVTec VisA MVTec AD Real-IAD DTD

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