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Image Classification research benchmarks – Page 246 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

87.6AUC

6

Feb 27, 2026

EMNIST letters 37 classes

33.78Accuracy

6

Feb 26, 2026

EMNIST mnist 10 classes

91.75Accuracy

6

Feb 26, 2026

Caltech101 (val)

Linear Probing baseline

91.5Accuracy

6

Feb 26, 2026

ImageNet (test)

63.41Accuracy

6

Feb 26, 2026

86Communication Rounds

6

Feb 26, 2026

123Communication Rounds

6

Feb 26, 2026

60Communication Rounds

6

Feb 26, 2026

CIFAR-100 (test)

64.64Natural Accuracy

6

Feb 26, 2026

77.94HM

6

Feb 26, 2026

CIFAR10 Noise ratio 0.6, Open ratio 1.0 (test)

94Accuracy

6

Feb 26, 2026

CIFAR10 Noise ratio 0.6, Open ratio 0.5 (test)

95.2Best Accuracy

6

Feb 26, 2026

CIFAR10 Noise ratio 0.3, Open ratio 1.0 (test)

0.961Best Accuracy

6

Feb 26, 2026

CIFAR10 Noise ratio 0.3, Open ratio 0.5 (test)

96.3Best Accuracy

6

Feb 26, 2026

ImageNet-100 (40-20 split)

82.7Accuracy (R)

6

Feb 26, 2026

ImageNet-100 (60-20 split)

74.1Accuracy (Rate)

6

Feb 26, 2026

ImageNet-100 (80-20 split)

69Accuracy (R)

6

Feb 26, 2026

ImageNet-100 (100-20 split)

68Accuracy

6

Feb 26, 2026

OfficeHome cross-domain

75.76Accuracy (Art)

6

Feb 26, 2026

76.97Accuracy

6

Feb 26, 2026

Reference Masking Regularization

77.89ID Accuracy

6

Feb 26, 2026

40.5Error Rate

6

Feb 26, 2026

0.8Classification Error (%)

6

Feb 26, 2026

Tiny-ImageNet-200

34.53FGSM Error Rate

6

Feb 26, 2026

63Accuracy (A->D)

6

Feb 26, 2026

Page 246 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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