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Image Classification research benchmarks – Page 123 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Transfer Learning Suite (FGVC-Aircraft, Caltech-101, CIFAR-10, CIFAR-100, DTD, Oxford-102 Flowers, Food-101, Oxford-IIIT Pets, SUN397) (test or val)

CARP + Decoupling

61.78Acc (Aircraft)

14

Feb 26, 2026

ImageNetV2 original (test)

0.761Accuracy

14

Feb 26, 2026

ImageNet-A original (test)

53.7Accuracy

14

Feb 26, 2026

ImageNet-C mild scenario (severity level 5)

2.2Gauss Error

14

Jul 2, 2026

56.01Joint Accuracy

14

Feb 26, 2026

83.7Top-1 Accuracy

14

Feb 26, 2026

Stanford Cars (Novel)

75.71Top-1 Acc

14

Feb 26, 2026

Camelyon17 OOD (test)

91.46Accuracy

14

Jun 1, 2026

Camelyon17 ID (val)

95.4Accuracy

14

Jun 1, 2026

CIFAR-100 (test)

82.5Accuracy

14

Feb 26, 2026

CIFAR-10 24 (test)

92.23Standard Accuracy

14

Feb 26, 2026

CIFAR-10.1 1.0 (test)

Cascaded Randomized Smoothing

78.5Accuracy

14

Feb 26, 2026

98.2Accuracy

14

Feb 26, 2026

CoMatch + EPASS

1.85Error Rate (1000 labels)

14

Feb 26, 2026

Fully-Supervised

19.3Error Rate (10000 Labels)

14

Feb 26, 2026

4.16Error Rate (4000 Labels)

14

Feb 26, 2026

CIFAR-100-LT Ratio 100 (test)

48.3Balanced Accuracy

14

Feb 26, 2026

CIFAR-10-LT Ratio 10 (test)

89.2Balanced Accuracy

14

Feb 26, 2026

53.13Top-1 Accuracy

14

Feb 26, 2026

CIFAR-100 Noisy Fine (test)

73.79Accuracy

14

Feb 26, 2026

S-TinyImageNet (test)

53.7Average Accuracy

14

Feb 26, 2026

S-CIFAR100 (test)

75.5Average Accuracy

14

Feb 26, 2026

CIFAR 10 (test)

1.16ECE

14

Feb 26, 2026

ImageNet-C severity level 5 1.0 (test)

54.4Average Error Rate

14

Feb 26, 2026

MNIST Source (test)

69.67Accuracy (SVHN)

14

Feb 26, 2026

Page 123 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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