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Out-of-Distribution Detection research benchmarks – Page 17 · SOTA2 Research

Out-of-Distribution Detection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

MNIST → FMNIST

99.29Mean Performance (MP)

9

May 26, 2026

MNIST → KMNIST

99.8Mean Prediction Probability (MP)

9

May 26, 2026

Unified Few-shot

97.3AUROC vs C10

9

May 6, 2026

Unified Few-shot

0.951AUROC (SVHN)

9

May 6, 2026

MNIST to FashionMNIST

35.73OOD Coverage

9

Mar 5, 2026

MINIIMAGENET as OOD

80.31AUROC

9

Mar 4, 2026

78.19AUROC

9

Mar 4, 2026

ImageNet-1k (ID) vs iNaturalist (OOD) 1.0 (test)

95True Positive Rate (TPR)

9

Feb 27, 2026

CIFAR-100 SCOOD framework (test)

60.37FPR95

9

Feb 26, 2026

CIFAR-10 SCOOD (test)

13.06FPR@95

9

Feb 26, 2026

45.61OOD Score (CIFAR-10)

9

Feb 26, 2026

86.46SVHN Score

9

Feb 26, 2026

72.23SVHN OOD Score

9

Feb 26, 2026

ImageNet vs ImageNet-O

79.86AUROC

9

Apr 13, 2026

CIFAR-10 In-Distribution (test)

0.51FPR95 (SVHN)

9

Feb 26, 2026

CIFAR-100 original (test)

2.9SVHN FPR95

9

Feb 26, 2026

Benchmark Malware Dataset (test)

0.906AUC

9

Feb 26, 2026

SMIYC Obstacle (val)

96.91AuPRC

9

Feb 26, 2026

SMIYC Anomaly (val)

91.92AuPRC

9

Feb 26, 2026

97.2AUROC

9

Feb 26, 2026

76.75Accuracy

9

Feb 26, 2026

90.32Accuracy

9

Feb 26, 2026

98.3Accuracy

9

Feb 26, 2026

Supervised classifier

95.57AUROC

8

Jun 1, 2026

Supervised classifier

91.17AUROC

8

Jun 1, 2026

Page 17 of 34

Popular datasets

CIFAR ImageNet CIFAR-100 SVHN MNIST

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