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Image Classification research benchmarks – Page 254 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR-10 (Pat-2)

224Communication Rounds (Acc@90)

6

Feb 27, 2026

EMNIST Balanced 69 (test)

85.95Accuracy

6

Feb 26, 2026

FashionMNIST-10 (test)

IMPLICIT solver

72.11Test Accuracy

6

Feb 26, 2026

ImageNet-C level 2

81.1Brightness

6

Feb 26, 2026

ImageNet-C level 1 1.0 (test)

81.6Brightness Accuracy

6

Feb 26, 2026

ImageNet-C (level 4)

79.2Top-1 Acc (Brightness)

6

Feb 26, 2026

73.1Accuracy

6

Feb 26, 2026

94.1AUC

6

Feb 26, 2026

PACS single-target setting

89.7Accuracy (P vs A)

6

Feb 26, 2026

27.38Inference Time (s)

5

Jul 7, 2026

11.77Inference Time (s)

5

Jul 7, 2026

CIFAR-10 (test)

RAMRM-PureMaskDiT

93.11Standard Accuracy

5

Jul 7, 2026

CIFAR-10-C Severity Level 3 (test)

FedAvg + SpecGradFilter

77.68Mean Test Accuracy

5

Jul 7, 2026

65.91Accuracy

5

Jul 7, 2026

CIFAR-100 AA adversarial (test)

30.69Accuracy

5

Jul 7, 2026

75.46Top-1 Accuracy

5

Jul 7, 2026

FetalP24 (Center B)

85.01Top-1 Accuracy

5

Jun 30, 2026

98.2AC Accuracy

5

Jun 30, 2026

65Accuracy Delta

5

Jun 25, 2026

ImageNet (test)

71.2Accuracy

5

Jun 25, 2026

SpectralEarth EnMAP (test)

SpectralEarth-L

74Corine Accuracy

5

Jun 23, 2026

CIFAR-10 (test)

74.72Top-1 Accuracy

5

Jun 23, 2026

Pawrious (test)

98.59Average Accuracy

5

Jun 23, 2026

98.71Completeness Accuracy

5

Jun 23, 2026

98.92Completeness (Accuracy)

5

Jun 23, 2026

Page 254 of 333

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CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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