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Image Classification research benchmarks – Page 43 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Torchvision Pretrained

80.9Top-1 Accuracy

36

Feb 26, 2026

94.14Accuracy

36

Feb 26, 2026

CIFAR-100 l=50000 (test)

0.775Accuracy

36

Feb 26, 2026

CIFAR-10 l=50000 (test)

96.47Accuracy

36

Feb 26, 2026

CIFAR-10 Dir(0.5) (test)

79.25Accuracy

36

Jun 23, 2026

PathMNIST v1 (test)

92.02Accuracy

36

Feb 26, 2026

72.67Accuracy

36

Feb 26, 2026

STL10-LT (test)

84.8Accuracy

36

Feb 26, 2026

76.25Clean Accuracy

36

Apr 7, 2026

CIFAR100 (test)

3.76Forgetting Measure

36

Feb 26, 2026

CIFAR100 Cross-Silo (K=10) α = 0.1

59.71Accuracy

36

Feb 26, 2026

CIFAR100 Cross-Device (K=100) α = 0.1

41.56Accuracy

36

Feb 26, 2026

CIFAR10 Cross-Silo (K=10) α = 0.1

86.24Accuracy

36

Feb 26, 2026

CIFAR10 Cross-Device (K=100) α = 0.1

75.33Accuracy

36

Feb 26, 2026

74.2Accuracy

36

May 19, 2026

79.8Top-1 Accuracy

36

Apr 2, 2026

FedRolex + DFRD

46.3Global Accuracy

36

Feb 26, 2026

82.38Accuracy

36

Feb 26, 2026

97.73Accuracy

36

Feb 26, 2026

EMNIST-L (test)

94.81Top-1 Acc

36

Feb 26, 2026

5.63Top-1 Error

36

Feb 26, 2026

DomainBed v1.0 (test)

78.5Average Accuracy

36

Feb 26, 2026

89.83BA

36

Feb 26, 2026

ICinW 20 datasets 1.0 (test)

63.39Accuracy

36

Feb 26, 2026

CIFAR-100 IF=10 long-tail (test)

74.1Top-1 Accuracy

36

Jun 2, 2026

Page 43 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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