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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 262 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

95.6Accuracy

5

Mar 31, 2026

ImageNet-1k (val)

70.1DsCo Accuracy

5

Mar 31, 2026

94.82CCA

5

Mar 31, 2026

98.84CCA

5

Mar 31, 2026

Permuted MNIST p1, p2, p3 (test)

92.8Task 1 Accuracy

5

Mar 31, 2026

CIFAR-100 Split (test)

19.4Task 1 Accuracy

5

Mar 31, 2026

TinyImageNet Split

24.4Task 1 Score

5

Mar 31, 2026

ImageNet-1K (test)

74Accuracy

5

Mar 30, 2026

Tiny-ImageNet 200 (test)

55.89Accuracy

5

Mar 30, 2026

CIFAR-100 (test)

67.87Accuracy

5

Mar 30, 2026

CIFAR100-C Target

65.69Accuracy (Gaussian)

5

Mar 30, 2026

Breast Histopathology binary: IDC vs. non-IDC

84.5Accuracy

5

Mar 27, 2026

43Rounds

5

Mar 25, 2026

TinyImageNet (val)

0.72BVS

5

Mar 24, 2026

0.95BVS

5

Mar 24, 2026

87BVS

5

Mar 24, 2026

Camelyon17 (unseen domains)

90.9H1 Accuracy

5

Mar 24, 2026

91Top-1 Accuracy

5

Mar 20, 2026

MNIST uniform label noise η=0.2 (7-fold CV)

97.43Accuracy (7-fold CV)

5

Mar 19, 2026

99.17Accuracy

5

Mar 18, 2026

SALT (Insertion Adapter)

90.2Accuracy

5

Mar 17, 2026

SALT (Residual Adapter)

93.8Accuracy

5

Mar 17, 2026

Extended YaleB 30% corrupted

89.9Accuracy

5

Mar 17, 2026

CIFAR-10 (test)

FP32 VGG Baseline

92.5Accuracy

5

Mar 17, 2026

CIFAR-10 (test)

85.64Accuracy

5

Mar 17, 2026

Page 262 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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