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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 249 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR100 10 tasks (test)

95.02FAA

6

Feb 26, 2026

ImageNet (train)

0.086Peak Training Memory (GB)

6

Feb 26, 2026

ImNet-Cats 128x128 (val)

21.2Accuracy

6

Feb 26, 2026

ImNet-Birds 128x128 (val)

29.1Accuracy

6

Feb 26, 2026

ImNet-E 128x128 (val)

29.3Accuracy

6

Feb 26, 2026

ImNet-D 128x128 (val)

30.4Accuracy

6

Feb 26, 2026

ImNet-C 128x128 (val)

35.8Accuracy

6

Feb 26, 2026

ImNet-B 128x128 (val)

42.1Accuracy

6

Feb 26, 2026

ImNet-A 128x128 (val)

41.8Accuracy

6

Feb 26, 2026

ImageNet 100 (Patched) (val)

47Accuracy

6

Feb 26, 2026

ImageNet-100 Clean (val)

50.1Accuracy

6

Feb 26, 2026

72.12Clean Accuracy

6

Feb 26, 2026

91.95Clean Accuracy

6

Feb 26, 2026

CIFAR-100 (test)

Homogeneous (largest)

81.99Local Accuracy

6

Feb 26, 2026

Meta Pseudo Labels

98.01Accuracy

6

Feb 26, 2026

Tiny-ImageNet 5000 labels

44.18Accuracy

6

Feb 26, 2026

76.1Accuracy (All)

6

Feb 26, 2026

Aff-Wild2 ABAW2 (val)

86.03Accuracy

6

Feb 26, 2026

Autoimmune Diseases Biopsy Slides (test)

87.17F1 Score (10%)

6

Feb 26, 2026

target-supervised

89.6Accuracy

6

Feb 26, 2026

ImageNette IN-10

DAJAT (Base, 3*AA)

86.92Clean Acc

6

Feb 26, 2026

93BA

6

Feb 26, 2026

CIFAR-100 (test)

Bootstrapping Training Algorithm

59.39Type-I Accuracy (70%)

6

Feb 26, 2026

CIFAR-10 (test)

42.74Type-I 70% Score

6

Feb 26, 2026

CIFAR-100 Type-III 35% Polynomial Margin Diminishing Noise 1.0 (test)

70.13Accuracy

6

Feb 26, 2026

Page 249 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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