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Image Classification research benchmarks – Page 122 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR-10 (test)

88.5Accuracy (N=100)

14

Feb 26, 2026

Office-Caltech10 (unseen clients)

0.88Accuracy (C)

14

Mar 24, 2026

Triangle (test)

99.64Accuracy

14

Feb 26, 2026

ImageNet Robustness Variants (Adversarial, Rendition, Sketch) V2 (test)

84.21Accuracy (ID)

14

May 7, 2026

80.1Seen Class Accuracy

14

Feb 26, 2026

96.8Accuracy (Seen)

14

Feb 26, 2026

81.64CA (%)

14

Feb 26, 2026

SemiAves USB 3959 labels

0.302Error Rate

14

Feb 26, 2026

TissueMNIST 400 labels

49.64Error Rate

14

Feb 26, 2026

TissueMNIST USB 80 labels

55.37Error Rate

14

Feb 26, 2026

EuroSat USB 40 labels

4.75Error Rate

14

Feb 26, 2026

EuroSat USB 20 labels

5.05Error Rate

14

Feb 26, 2026

STL-10 USB 100 labels

7.21Error Rate

14

Feb 26, 2026

STL-10 USB (40 labels)

11.09Error Rate

14

Feb 26, 2026

CIFAR-100 USB 400 labels

15.65Error Rate

14

Feb 26, 2026

CIFAR-100 USB (200 labels)

21.4Error Rate

14

Feb 26, 2026

CINIC-10 100 clients (test)

52.62Accuracy

14

Feb 26, 2026

CINIC-10 20 clients (test)

51.12Accuracy

14

Feb 26, 2026

CIFAR-10 20 clients (test)

76.95Accuracy

14

Feb 26, 2026

Fashion-MNIST 100 clients (test)

89.39Accuracy

14

Feb 26, 2026

Fashion-MNIST 20 clients (test)

89.5Accuracy

14

Feb 26, 2026

72.84Top-1 Acc

14

Feb 26, 2026

Transductive-SUBSELNET

3.97Speedup

14

Feb 26, 2026

ImageNet-K 1.0 (test)

51.59Top-1 Accuracy

14

Feb 26, 2026

MNIST-R 64 rotations (test)

98.9Top-1 Accuracy

14

Feb 26, 2026

Page 122 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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