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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 162 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

80.61Accuracy

10

Feb 27, 2026

CIFAR-10 (test)

94Clean Accuracy

10

Feb 27, 2026

CIFAR-10 (test)

94Clean Accuracy

10

Feb 27, 2026

99.3Accuracy (Clean)

10

Feb 27, 2026

88.9Top-1 Accuracy

10

Feb 27, 2026

69.71Accuracy

10

Mar 4, 2026

CIFAR-10 (test)

88.85Accuracy (Dirichlet α=0.1)

10

Feb 27, 2026

StanfordCars HM (full)

78.92HM

10

Feb 26, 2026

MNIST, DTD, EuroSAT, GTSRB, SVHN (test)

99.33Accuracy (MNIST)

10

Feb 26, 2026

CIFAR-100 long-tailed (test)

43.96Top-1 Acc (rho=200)

10

Feb 26, 2026

CIFAR-10 (test)

80.46Accuracy (Noise 0.1)

10

Feb 26, 2026

CIFAR-100 (IND) + TinyImageNet (OOD)

0.746Accuracy (Test)

10

Feb 26, 2026

CIFAR-10 (IND) + TinyImageNet (OOD)

94.08Test Accuracy (OOD)

10

Feb 26, 2026

CIFAR-10 (IND) + CIFAR-100 (OOD)

93.69Test Accuracy

10

Feb 26, 2026

CelebA original unshifted

91Worst Acc

10

Feb 26, 2026

Waterbirds original unshifted

Hierarchical Group DRO

90.8Worst Accuracy

10

Feb 26, 2026

80.8Accuracy

10

Feb 26, 2026

0.7NLL

10

Feb 26, 2026

0.47NLL

10

Feb 26, 2026

0.12NLL

10

Feb 26, 2026

3.83Log Time

10

Feb 26, 2026

2.12Log Time

10

Feb 26, 2026

CIFAR-10 (50%(sym))

92.4Accuracy

10

Feb 26, 2026

CIFAR-10 (20%(sym))

94.56Accuracy

10

Feb 26, 2026

FMNIST non-i.i.d. (test)

70.83Accuracy (Test)

10

Feb 26, 2026

Page 162 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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