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Out-of-Distribution Detection research benchmarks – Page 15 · SOTA2 Research

Out-of-Distribution Detection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

ImageNet 10 (ID) 20 (hard OoD)

99.8AUROC

11

Feb 26, 2026

Fishyscapes Static (test)

92.38AP

11

Feb 26, 2026

Fishyscapes Lost & Found (test)

55.63AP

11

Feb 26, 2026

OBJECTS vs CIFAR-100-C (test)

82.66AUROC

11

Feb 26, 2026

OBJECTS vs Texture (test)

88.91AUROC

11

Feb 26, 2026

OBJECTS vs FashionMNIST (test)

84.85AUROC

11

Feb 26, 2026

OBJECTS vs MNIST 1.0 (test)

92.43AUROC

11

Feb 26, 2026

Tiny ImageNet CROP (test)

79.7Detection Accuracy

11

Feb 26, 2026

75.6Detection Accuracy

11

Feb 26, 2026

LSUN CROP (test)

76.9Detection Accuracy

11

Feb 26, 2026

Tiny-ImageNet RESIZE (test)

76.2Detection Accuracy

11

Feb 26, 2026

LSUN RESIZE (test)

77Detection Accuracy

11

Feb 26, 2026

CIFAR-10 vs CIFAR-100 Near-OOD (test)

shifting transformation learning

94.07AUROC

11

Feb 26, 2026

CIFAR-100 vs LSUN (C)

Kernel PCA (CoRP)

98.91AUROC

11

Mar 4, 2026

CIFAR-10 Gaussian

Multi-Task Curriculum Framework

100AUROC

11

Feb 26, 2026

77.98AUROC

10

Jun 17, 2026

88.08AUROC

10

Jun 17, 2026

CIFAR-10-C (InD) and SVHN-C (OOD) (test)

86.28Accuracy

10

Jun 2, 2026

OpenOOD ImageNet-1K ID (Near-OOD)

Online Prototype Learning

85.8AUROC

10

May 27, 2026

ImageNet Covariate-shifted OOD vs. Semantic-shifted OOD 1k (test)

61.25FPR@95% TPR

10

May 26, 2026

ImageNet ID vs. Semantic-shifted OOD 1k (test)

46.4FPR@95%TPR

10

May 26, 2026

JUMP Intensity Shift

90.63AUROC

10

Mar 24, 2026

JUMP (Unseen Plates)

74.44AUROC

10

Mar 24, 2026

JUMP (Unseen Cell Lines)

0.87AUROC

10

Mar 24, 2026

BBBC021 Intensity Shift

0.77AUROC

10

Mar 24, 2026

Page 15 of 34

Popular datasets

CIFAR ImageNet CIFAR-100 SVHN MNIST

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