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Image Classification research benchmarks – Page 199 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

66.08Accuracy

8

Apr 29, 2026

8.37GFLOPs

8

Feb 26, 2026

DomainNet Mini (test)

56.83Accuracy (Clipart)

8

Feb 26, 2026

CIFAR-10 (test)

87.06Accuracy

8

Feb 26, 2026

Office-31 DSLR domain (test)

99.73Accuracy

8

Feb 26, 2026

Office-Home Art-Source (sub-table a)

61.22Accuracy (A->C)

8

Feb 26, 2026

CIFAR-100, ImageNet-O, ImageNet-V2, CIFAR-10

65.27Top-1 Accuracy

8

Feb 26, 2026

CIFAR-10 (test)

50.35AA

8

Feb 26, 2026

CIFAR-10 Asymmetric 30% noise (test)

96.3Accuracy

8

Feb 26, 2026

CIFAR-10 Asymmetric 10% noise (test)

97Accuracy

8

Feb 26, 2026

0.92AUROC

8

Feb 26, 2026

94.47Balanced Accuracy

8

Feb 26, 2026

CIFAR-10 (test)

94.81Baseline Accuracy

8

Feb 26, 2026

56Accuracy

8

Feb 26, 2026

Stanford Dogs 1.0 (test)

76.9CLIP Score

8

Feb 26, 2026

ImageNet-100 1.0 (test)

92.5CLIP Score

8

Feb 26, 2026

56.3Top-1 Accuracy

8

Feb 26, 2026

87.47Accuracy

8

Feb 26, 2026

68.65Robust Accuracy

8

Feb 26, 2026

CIFAR-10 (test)

84.42Accuracy

8

Feb 26, 2026

Tiny-ImageNet (beta=0.5)

73.89Accuracy

8

Feb 26, 2026

CIFAR-100 (beta=0.5)

83.31Accuracy

8

Feb 26, 2026

miniDomainNet 10 labels per class v1 (test)

FreeMatch + UPCSC

56.5Accuracy

8

Feb 26, 2026

DigitsDG 10 labels per class v1 (test)

StyleMatch + UPCSC

82.2Accuracy

8

Feb 26, 2026

ImageNet 4-shot

83.1Accuracy

8

Feb 26, 2026

Page 199 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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