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Anomaly Detection research benchmarks – Page 39 · SOTA2 Research

Anomaly Detection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Visual Anomaly Dataset (VAD) low-shot supervised 100 bad (train)

92.7Cl. AUROC

8

Feb 26, 2026

VAD high-shot supervised

AllAD + WRN + SegAD

96.5AUROC (Classification)

8

Feb 26, 2026

Real3D-AD 1.0 (test)

88.2Airplane

8

Feb 26, 2026

7.18AnomalyTrack FPR

8

Feb 26, 2026

Fishyscapes (val)

0.85Static FPR

8

Feb 26, 2026

RoadAnomaly (val)

17.74FPR

8

Feb 26, 2026

0.914AUC-ROC

8

Feb 26, 2026

MVTec LOCO Structural (test)

0.909AUROC

8

Feb 26, 2026

MVTec AD 2019 (test)

Coarse-to-Fine Non-Contrastive Learning

97.7Image-level AUC

8

Feb 26, 2026

Task-oriented SSL (Ours)

13EER

8

Feb 26, 2026

Task-oriented SSL (Ours)

0.16EER

8

Feb 26, 2026

Task-oriented SSL (Ours)

11EER

8

Feb 26, 2026

0.857AUROC

8

Feb 26, 2026

0.874AUC

8

Apr 23, 2026

68F1-Score

8

Feb 26, 2026

78F1-Score

8

Feb 26, 2026

0.217IoU

8

Feb 26, 2026

36.3IoU

8

Feb 26, 2026

35.3IoU

8

Feb 26, 2026

QCD vs Hypothesized Higgs bosons OOD H (test)

0.877AUC

8

Feb 26, 2026

QCD vs Standard Model Top jets (test)

94AUC

8

Feb 26, 2026

HAI (Difficult)

VaDE-hard+resid(auto)

83.1AUROC

7

Jul 8, 2026

97.9AUROC

7

Jul 8, 2026

HAI All 14819 (test)

VaDE-hard+resid(auto)

94.1AUROC

7

Jul 8, 2026

BrainMIR (in-house)

92.52AUC

7

Jul 7, 2026

Page 39 of 62

Popular datasets

MVTec AD MNIST CIFAR Gaussian mixture synthetic dataset SMAP

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