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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 288 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

80.66Accuracy

4

Feb 26, 2026

CIFAR-10 40% labeled

74.67Accuracy

4

Feb 26, 2026

CIFAR-10 30% labeled data

71.83Accuracy

4

Feb 26, 2026

CIFAR-10 (20% labeled)

0.664Accuracy

4

Feb 26, 2026

ImageNet 16-shot (test)

66.46Accuracy

4

Feb 26, 2026

CIFAR100-C OOD (test)

53.52Accuracy

4

Feb 26, 2026

CIFAR10.1 OOD (test)

91.22Accuracy

4

Feb 26, 2026

CIFAR10-C OOD (test)

76.63Accuracy

4

Feb 26, 2026

Satellite images

89.9Accuracy

4

Feb 26, 2026

64.8Accuracy

4

Feb 26, 2026

45.6Accuracy

4

Feb 26, 2026

26.1Accuracy

4

Feb 26, 2026

29.5Accuracy

4

Feb 26, 2026

36.4Accuracy

4

Feb 26, 2026

41.3Accuracy

4

Feb 26, 2026

Average (DTD, Flowers102, UCF101)

Dual Prompt Tuning

82.8Accuracy

4

Feb 26, 2026

110BA

4

Feb 26, 2026

2.5BA

4

Feb 26, 2026

7-benchmark Vision Average

63.94Accuracy

4

Feb 26, 2026

NAS-Bench-301 CIFAR-10

0.74Spearman rho

4

Feb 26, 2026

NAS-Bench-101 CIFAR-10

0.77Spearman Rho

4

Feb 26, 2026

NAS-Bench-201 ImageNet-16-120

0.89Spearman Rho

4

Feb 26, 2026

NAS-Bench-201 CIFAR-100

0.9Spearman Rho

4

Feb 26, 2026

NAS-Bench-201 CIFAR-10

0.91Spearman Correlation

4

Feb 26, 2026

Leaf Disease OOD (test)

42.26Accuracy W

4

Feb 26, 2026

Page 288 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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