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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 65 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR-100 Clean Labels

81.79Accuracy

25

Feb 26, 2026

ImageNet 1K (val)

84.7Top-1 Accuracy

25

Feb 26, 2026

DomainNet (OOD domains)

30.42OOD Average Accuracy

25

Apr 1, 2026

72.91Accuracy

25

Feb 26, 2026

86.6Top-1 Accuracy

25

May 26, 2026

95.2Top-1 Acc

25

Feb 26, 2026

2.01Error Rate (%)

25

Jun 19, 2026

ImageNet-1k 2012 (val)

84.4Top-1 Accuracy

25

Feb 26, 2026

ImageNet 1k (val)

80Top-1 Accuracy

25

Feb 26, 2026

tiered-ImageNet

79.671-Shot Acc

25

Feb 26, 2026

64.4Accuracy

25

Mar 4, 2026

CIFAR-10 (test)

Ours (Modified Model)

96.75Accuracy (Symmetric Noise, η=0.2)

25

Feb 26, 2026

98.76Accuracy

25

Apr 29, 2026

Individual Networks

17.17Top-1 Error

25

Feb 26, 2026

CIFAR-10+ (test)

EAS (DenseNet on C10+)

3.44Test Error Rate (%)

25

Feb 26, 2026

MNIST to MNIST-M (test)

Train on Target

98.91Accuracy

25

Feb 26, 2026

89.11Accuracy

25

Feb 26, 2026

CIFAR-10 (test)

87.6Accuracy (Natural)

24

Jul 8, 2026

85.4Accuracy

24

Jul 3, 2026

79.6Accuracy

24

Jul 3, 2026

88.3Accuracy

24

Jul 3, 2026

76.2Accuracy

24

Jul 3, 2026

10.1Average Set Size

24

Jul 1, 2026

Continual Learning Task Stream S

97.4Caltech Accuracy

24

Jun 23, 2026

CIFAR100 10-split

87.94Accuracy

24

Jun 23, 2026

Page 65 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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