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Image Classification research benchmarks – Page 141 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

94.37Accuracy (Test, symm 20%)

12

Feb 26, 2026

CIFAR-100 corrupted (test)

71.1Top-1 Acc

12

Feb 26, 2026

26.7Top-1 Error

12

Feb 26, 2026

22.4Test Error Rate

12

Feb 26, 2026

Office-Home Average

64Accuracy

12

Feb 26, 2026

Office-Home Pr→Ar,Cl,Rw

59.5Accuracy

12

Feb 26, 2026

76.4Accuracy

12

Feb 26, 2026

0.32Accuracy Drop

12

Feb 26, 2026

80.27Accuracy

12

Feb 26, 2026

BreastMNIST v2 (test)

Google AutoML Vision

0.919AUC

12

Feb 26, 2026

AsynFLC-EF(top3+Q2b)

0.001Communication Cost (GB)

12

Feb 26, 2026

AsynFLC-EF(top3+Q2b)

0.001Communication Cost (GB)

12

Feb 26, 2026

CIFAR-10 Gaussian5 Noise (test)

50.47Accuracy

12

Feb 27, 2026

CIFAR-10 Gaussian2 Noise (test)

60.34Accuracy

12

Feb 27, 2026

CIFAR-10 Gaussian1 Noise (test)

60.78Accuracy

12

Feb 27, 2026

9.3Error (Actual)

12

Feb 26, 2026

CIFAR10 PACS (combined)

Test-Time Dynamic Model Selection (MetaCLIP-SigLIP)

99Accuracy

12

Feb 26, 2026

ImageNet-1K (test)

66.7Final Accuracy

12

Feb 26, 2026

EMNIST (Non-IID (4-Class partition))

86.88Accuracy

12

Feb 26, 2026

99.6Accuracy

12

Feb 26, 2026

58.3Accuracy

12

Feb 26, 2026

93.7Accuracy

12

Feb 26, 2026

CelebA-G (test)

93.53Accuracy (ε=10)

12

Feb 26, 2026

32.498Error Rate

12

Feb 26, 2026

44.196Error Rate

12

Feb 26, 2026

Page 141 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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