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Anomaly Detection research benchmarks – Page 49 · SOTA2 Research

Anomaly Detection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

94.3AUROC

6

Feb 26, 2026

0.94AUROC

6

Feb 26, 2026

SWaT 60/20/20 split (test)

0.796AUC-ROC

6

Feb 26, 2026

PMU-C proprietary (test)

0.706AUC ROC

6

Feb 26, 2026

PMU-B proprietary (test)

67.5AUC-ROC

6

Feb 26, 2026

NIH AP projection (test)

60.1AUC

6

Feb 26, 2026

NIH PA projection (test)

0.708AUC

6

Feb 26, 2026

0.782AUC-ROC

6

Feb 26, 2026

98.26AUROC

6

Feb 26, 2026

ImageNet 30 classes 1k subset (test)

97Mean AUC

6

Feb 26, 2026

72.9Class Score (0)

6

Feb 26, 2026

KDDRev 50% (test)

98.9F1 Score

6

Feb 26, 2026

98.4F1 Score

6

Feb 26, 2026

Thyroid (50% test)

75F1 Score

6

Feb 26, 2026

Arrhythmia (50% test)

52F1 Score

6

Feb 26, 2026

Fashion-MNIST 32x32x1 (test)

69.8AUPR-In

6

Feb 26, 2026

CatsVsDogs 64x64x3

Geometric Transformations

88.8AUROC

6

Feb 26, 2026

Fashion-MNIST 32x32x1

Geometric Transformations

93.5AUROC (%)

6

Feb 26, 2026

CatsVsDogs 64x64x3 (test)

Geometric Transformations

83.3AUPR (C0)

6

Feb 26, 2026

Fashion-MNIST 32x32x1 (test)

99.8AUPR-Out (C0)

6

Feb 26, 2026

CIFAR-100 32x32x3 (test)

Geometric Transformations

98AUPR-Out (C0)

6

Feb 26, 2026

69.3Image-level AU-ROC

6

Feb 26, 2026

CL-Anomaly-multi-7B

96.63Accuracy

5

Jul 7, 2026

74.3Average Performance

5

Jul 7, 2026

81.3Average Score

5

Jul 7, 2026

Page 49 of 62

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