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Image Classification research benchmarks – Page 216 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

58.1Accuracy

7

Apr 2, 2026

59.7Accuracy

7

Apr 2, 2026

61.5Accuracy

7

Apr 2, 2026

70.5Accuracy

7

Apr 2, 2026

76.6Accuracy

7

Apr 2, 2026

5Communication Rounds

7

Apr 6, 2026

DomainNet severity 5 (test)

42.53Error Rate

7

Mar 24, 2026

CIFAR-10 (test)

94Top-1 Accuracy (BS=64)

7

Mar 23, 2026

CIFAR-100 40% uniform noise (test)

63.82Accuracy

7

Mar 19, 2026

ImageNet-C Label shift

64.2Accuracy

7

Mar 17, 2026

ImageNet-C Batch size=1

67.7Accuracy

7

Mar 17, 2026

CIFAR-10 2009 (test)

91.1Marginal Coverage

7

Mar 17, 2026

4.59Error Rate

7

Mar 13, 2026

CIFAR-100 Pathological Non-IID (test)

5.95Global Accuracy

7

Mar 10, 2026

CIFAR-100 Dirichlet alpha=0.3 (test)

15.31Global Accuracy

7

Mar 10, 2026

CIFAR-10 Dirichlet alpha=0.3 (test)

46.57Global Accuracy

7

Mar 10, 2026

FMNIST Dirichlet alpha=0.3 (test)

87.1Global Accuracy

7

Mar 10, 2026

SVHN Dirichlet alpha=0.3 (test)

86.94Global Accuracy

7

Mar 10, 2026

SVHN Pathological Non-IID

79.94Global Accuracy

7

Mar 10, 2026

CIFAR-100 Dirichlet alpha=0.1

14.33Global Accuracy

7

Mar 10, 2026

SVHN Dirichlet alpha=0.1

83.11Global Accuracy

7

Mar 10, 2026

72.51Top-1 Accuracy

7

Mar 10, 2026

CIFAR-10 (test)

95.9Accuracy

7

Mar 10, 2026

89.96Accuracy (Gaussian Noise)

7

Mar 10, 2026

Vision Task Mixture Unseen Tasks 4-task (test)

64.61Accuracy (CIFAR100)

7

Mar 9, 2026

Page 216 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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