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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 267 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

ImageNet variants (Average) v1 (test)

72.9Accuracy

5

Feb 26, 2026

ImageNet-Sketch v1 (test)

0.597Accuracy

5

Feb 26, 2026

ImageNet-R v1 (test)

87.8Accuracy

5

Feb 26, 2026

ImageNet-A v1 (test)

73.9Accuracy

5

Feb 26, 2026

CIFAR-100 (test)

74.64Baseline Accuracy

5

Feb 26, 2026

PACS, OfficeHome, DigitsDG, and miniDomainNet target domain 10 labels per class

81.8PACS Accuracy

5

Feb 26, 2026

PACS, OfficeHome, DigitsDG, and miniDomainNet target domain 5 labels per class

0.796PACS Accuracy

5

Feb 26, 2026

MHIST Corrupted (test)

58.78Accuracy

5

Feb 26, 2026

MHIST Clean (test)

63Accuracy

5

Feb 26, 2026

LC25K Colon Corrupted (test)

97.42Accuracy

5

Feb 26, 2026

LC25K Colon Clean (test)

99.18Accuracy

5

Feb 26, 2026

CIFAR-10 5% sampling, Poisson Noise, 8-bit Quant. (test)

25.94Accuracy

5

Feb 26, 2026

19.62Adv Acc

5

Feb 27, 2026

25.69Adversarial Accuracy

5

Feb 27, 2026

83.88Adversarial Accuracy

5

Feb 27, 2026

Medical Imaging Dataset

96.67Accuracy

5

Feb 26, 2026

ImageNet and Robustness Variants zero-shot v1, v2, A, R, S, ObjectNet

ViT-L/14 Sparse

75.6Average Class Accuracy

5

Feb 26, 2026

37Average Score

5

Feb 26, 2026

53.8Accuracy

5

Feb 26, 2026

MIT-States Filtered to 97 classes (test)

63.5Precision

5

Feb 26, 2026

CIFAR-100 (test)

70.12Accuracy

5

Feb 26, 2026

ImageNet-1k (val)

83.11Top-1 Accuracy @ 0% Threshold

5

Feb 26, 2026

VisDA Syn. 2017

0.994Standard Accuracy

5

Feb 26, 2026

Ours (Original)

0.961Accuracy

5

Feb 26, 2026

95.6Accuracy

5

Feb 26, 2026

Page 267 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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