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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 166 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR-100 (test)

TRADES + FAALAT

58.5Avg Clean Acc

10

Feb 26, 2026

ImageNet100-I2C (test)

0.903Accuracy

10

Feb 26, 2026

ImageNet100 + CIFAR100 (test)

78.3Accuracy

10

Feb 26, 2026

86.4Acc (Cl -> Pn)

10

Feb 26, 2026

ImageNet-R wild scenario (online imbalanced label distribution shifts)

0.593Accuracy

10

Feb 26, 2026

Visda online imbalanced label distribution shifts 2021

57.3Accuracy

10

Feb 26, 2026

85.8Accuracy

10

Feb 26, 2026

87.34Accuracy

10

May 4, 2026

20 Other Datasets

99.4CIFAR-10 Accuracy

10

Feb 26, 2026

85.84Top-1 Acc

10

Feb 26, 2026

0.817Accuracy

10

Feb 26, 2026

MNIST-M (target)

0.531Average Accuracy

10

Feb 26, 2026

45Pruning Ratio

10

Feb 26, 2026

55Pruning Ratio

10

Feb 26, 2026

OxfordPets (test)

85Pruning Ratio

10

Feb 26, 2026

CIFAR-10 beta=0.3 (test)

10.85MAE

10

Feb 27, 2026

CIFAR-10 (test)

82.1Clean Accuracy

10

Feb 26, 2026

iWildCAM Unseen v1.0 (test)

26.43Mean Accuracy

10

Feb 26, 2026

iWildCAM Seen v1.0 (test)

51.08Mean Accuracy

10

Feb 26, 2026

iWildCAM Overall v1.0 (test)

41.59Mean Accuracy

10

Feb 26, 2026

STL-10 Hue-shifted (test)

84.31Accuracy

10

Feb 26, 2026

Stanford Cars Hue-shifted (test)

81.44Accuracy

10

Feb 26, 2026

Oxford-IIIT Pet Hue-shifted (test)

72.94Accuracy

10

Feb 26, 2026

Flowers-102 Hue-shifted (test)

75.66Accuracy

10

Feb 26, 2026

CIFAR-100 Hue-shifted (test)

71.33Accuracy

10

Feb 26, 2026

Page 166 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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