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Anomaly Detection research benchmarks – Page 46 · SOTA2 Research

Anomaly Detection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

88.27PA-F1

6

Mar 27, 2026

72.36PA-F1

6

Mar 27, 2026

80.32PA-F1

6

Mar 27, 2026

1.7False Discovery Rate (FDR)

6

Mar 25, 2026

8.2FDR

6

Mar 25, 2026

1.8FDR

6

Mar 25, 2026

0FDR

6

Mar 25, 2026

Breast Cancer (Wisconsin)

0FDR

6

Mar 25, 2026

0FDR

6

Mar 25, 2026

0FDR

6

Mar 25, 2026

0FDR

6

Mar 25, 2026

MVTec AD Continual setting (test)

0.94I-ROC

6

Mar 19, 2026

MVTec AD Multi-Class setting (test)

86I-ROC

6

Mar 19, 2026

MVTec AD Single setting (test)

98I-ROC

6

Mar 19, 2026

77VUS

6

Mar 11, 2026

96.8AUROC

6

Mar 9, 2026

RetailS Real-world (test)

63.22AUC-ROC

6

Mar 6, 2026

RetailS Staged (test)

88.1AUC-ROC

6

Mar 6, 2026

MVTec-AD super-multi-class

99.4AUROC (Image Level)

6

Mar 4, 2026

92.527AUC_I

6

Mar 4, 2026

99.089AUCP

6

Mar 4, 2026

IEEE 68-bus Measurement Anomaly

Anomaly Transformer

95.3Precision

6

Feb 26, 2026

TwoCluster Non-stationary

0.958AUC

6

Feb 26, 2026

INSECTS Non-stationary

0.783AUC

6

Feb 26, 2026

Satellite Stationary

72.6AUC

6

Feb 26, 2026

Page 46 of 62

Popular datasets

MVTec AD MNIST CIFAR Gaussian mixture synthetic dataset SMAP

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