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Image Classification research benchmarks – Page 208 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

25.05Top-1 Accuracy

7

Jul 9, 2026

84.7Top-1 Accuracy

7

Jul 9, 2026

70.36Top-1 Accuracy

7

Jul 9, 2026

90.51Top-1 Accuracy

7

Jul 9, 2026

93.83Top-1 Accuracy

7

Jul 9, 2026

93AUC

7

Jul 8, 2026

96AUC

7

Jul 8, 2026

94Accuracy

7

Jul 8, 2026

87.4Worst-group Accuracy

7

Jul 8, 2026

98.11Standard Accuracy

7

Jul 7, 2026

AMRM-PureMaskDiT

70.03Accuracy

7

Jul 7, 2026

RAMRM-PureMaskDiT

93.11Standard Accuracy

7

Jul 7, 2026

76.19Top-1 Clean Accuracy

7

Jul 7, 2026

ImageNet-1k (test)

79.85Top-1 Accuracy

7

Jul 7, 2026

ImageNet-1k (val)

79Top-1 Balanced Accuracy

7

Jul 3, 2026

TinyImageNet ε=1/255 (test)

43.78Standard Accuracy

7

Jul 1, 2026

Adaptive DBN (TS)

95.5Accuracy

7

Jun 30, 2026

Places365 (Out-Of-Domain)

50.5Accuracy

7

Jun 26, 2026

Places365 In-Domain

55.1Accuracy

7

Jun 26, 2026

CUB (Out-Of-Domain)

82Accuracy

7

Jun 26, 2026

DU molten pool images

95.14Accuracy

7

Jun 25, 2026

ImageNet-1K Subset Eval Original (val)

79.85Base Accuracy

7

Jun 25, 2026

ImageNet-1K Corruption Type 3

39.85Test Accuracy

7

Jun 25, 2026

ImageNet-1K Corruption Type 2

35.46Accuracy

7

Jun 25, 2026

ImageNet-1K Corruption Type 1

38.58Accuracy (Corruption Type 1)

7

Jun 25, 2026

Page 208 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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