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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 287 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR-10 20 x 5 scenario (test)

72.14Accuracy

4

Feb 26, 2026

CIFAR-10 40 + 30 + 30 scenario (test)

78.83Accuracy

4

Feb 26, 2026

CIFAR-10 50 + 50 scenario (test)

86.94Accuracy

4

Feb 26, 2026

CIFAR-100 (test)

56.5Accuracy

4

Feb 26, 2026

CIFAR-10 (test)

87.5Accuracy

4

Feb 26, 2026

12ASR

4

Feb 26, 2026

CIFAR-10 (test)

0.88ASR

4

Feb 26, 2026

CIFAR-100 (test)

19ASR

4

Feb 26, 2026

CIFAR-10 (test)

85.67Accuracy

4

Feb 26, 2026

MonoSoup (variance)

56.7Accuracy

4

Feb 26, 2026

ImageNet In-distribution 1k

MonoSoup (variance)

85.57Accuracy

4

Feb 26, 2026

18Rounds to 50% Acc

4

Feb 26, 2026

ImageWoof NCFM setup (test)

55.1Accuracy

4

Feb 26, 2026

Imagenette NCFM setup (test)

64.8Accuracy

4

Feb 26, 2026

40.64Clean Accuracy

4

Feb 27, 2026

87.41Clean Accuracy

4

Feb 27, 2026

97.03Clean Accuracy

4

Feb 27, 2026

Overall Robustness Suite Zero-shot

45.21Average Score

4

Feb 27, 2026

PlantVillage 15-shot (test)

Ensemble MaxViT, ConvNeXt, Swin Transformer

97.8Accuracy

4

Feb 26, 2026

PlantVillage 10-shot (test)

Ensemble MaxViT, ConvNeXt, Swin Transformer

97.08Accuracy

4

Feb 26, 2026

PlantVillage 5-shot (test)

Ensemble MaxViT, ConvNeXt, Swin Transformer

89.85Accuracy

4

Feb 26, 2026

PlantVillage 1-shot (test)

Ensemble MaxViT, ConvNeXt, Swin Transformer

49.08Accuracy

4

Feb 26, 2026

0.952Accuracy

4

Feb 26, 2026

Dataset 1 (val)

95.1Accuracy

4

Feb 26, 2026

47Robust Accuracy

4

Feb 27, 2026

Page 287 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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