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Image Classification research benchmarks – Page 63 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR10 reversed, gamma_u = 1/100 long-tail (test)

FixMatch + ACR + BEM

89.8Accuracy

26

Feb 26, 2026

CIFAR10 uniform, gamma_u = 1 long-tail (test)

FixMatch + ACR + BEM

95.1Accuracy

26

Feb 26, 2026

Caltech-UCSD Birds (CUB-200-2011) (test)

MoCo V2 Anisotropic

93.29Accuracy

26

Mar 4, 2026

ImageNet 1000 (val)

18.13Top-1 Error

26

Feb 26, 2026

ImageNet 9 (val)

95.7Top-1 Accuracy

26

Feb 26, 2026

CIFAR-10 Symmetry-20% noise (test)

89.71Accuracy (Test)

26

Feb 26, 2026

3.8Top-1 Error Rate

26

Feb 26, 2026

Individual Networks

3.44Top-1 Error

26

Feb 26, 2026

Office+Caltech C -> D

93.63Accuracy

26

Feb 26, 2026

Office+Caltech C -> W

86.78Accuracy

26

Feb 26, 2026

Office+Caltech C -> A

92.15Accuracy

26

Feb 26, 2026

Office+Caltech W -> D

100Accuracy

26

Feb 26, 2026

Office+Caltech A -> C

85.51Accuracy

26

Feb 26, 2026

NORB small (test)

0.01Error Rate

26

Feb 26, 2026

Supervised CLIP

99Accuracy

26

Mar 11, 2026

76.22Accuracy

25

Jul 8, 2026

88.09FGSM Accuracy

25

Jul 1, 2026

64.7Accuracy

25

Jun 8, 2026

CIFAR-10 (train)

0.006Training Loss

25

Jun 2, 2026

74.27Top-1 Accuracy

25

Jun 25, 2026

61.6Aauc

25

Apr 7, 2026

85.69Aauc

25

Apr 7, 2026

82.67Base Accuracy

25

Mar 18, 2026

98.4Top-1 Accuracy

25

May 20, 2026

64.24Robust Accuracy

25

Apr 7, 2026

Page 63 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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