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Image Classification research benchmarks – Page 282 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

68Seen Accuracy

4

Mar 31, 2026

37Accuracy (Seen Classes)

4

Mar 31, 2026

Vision Task ViT-B/16

53Accuracy

4

Mar 31, 2026

Potato Leaf Disease (test)

Proposed TinyViT

0.999MCC

4

Mar 31, 2026

14.07Top-1 Accuracy

4

Mar 31, 2026

98.35Accuracy

4

Mar 30, 2026

CIFAR100 Source

34.31Accuracy (Gaussian)

4

Mar 30, 2026

Nesterov-SDEBNN

88.36Accuracy

4

Mar 27, 2026

Nesterov-SDEBNN

99.04Accuracy

4

Mar 27, 2026

NCH dataset (test)

model with ERRC

2.37Mean Time (ms)

4

Mar 27, 2026

72.02Top-1 Accuracy

4

Mar 24, 2026

MNIST uniform label noise η=0.5 (7-fold CV)

95.88Average Accuracy

4

Mar 19, 2026

CIFAR-100 (test)

100Consistency

4

Mar 19, 2026

Tiny ImageNet (test)

4.28Accuracy

4

Mar 18, 2026

FEMNIST (Non-IID 2)

80.32Accuracy

4

Mar 17, 2026

FEMNIST (Non-IID 1)

81.12Accuracy

4

Mar 17, 2026

80.24Accuracy

4

Mar 17, 2026

Tiny-ImageNet (Non-IID 1)

52.62Accuracy

4

Mar 17, 2026

Tiny-ImageNet IID

55Accuracy

4

Mar 17, 2026

SVHN (Non-IID 2)

89.34Accuracy

4

Mar 17, 2026

SVHN (Non-IID 1)

90.6Accuracy

4

Mar 17, 2026

92.1Accuracy

4

Mar 17, 2026

FMNIST (Non-IID 2)

89.28Accuracy

4

Mar 17, 2026

FMNIST (Non-IID 1)

91.44Accuracy

4

Mar 17, 2026

92.24Accuracy

4

Mar 17, 2026

Page 282 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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