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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 253 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR-10 Symmetry-80% (test)

27.78Accuracy

6

Feb 26, 2026

MNIST Asymmetry-40% noise (test)

95.24Test Accuracy

6

Feb 26, 2026

MNIST Symmetry-80% noise (test)

84.89Accuracy

6

Feb 26, 2026

NME Omniglot (meta-test)

94.1Accuracy

6

Feb 26, 2026

77.21P@1

6

Feb 26, 2026

Rotated MNIST (in-domain)

Single sample generalization

98.9Accuracy

6

Feb 26, 2026

CIFAR-FS 5-shot (test)

88.38Accuracy

6

Feb 26, 2026

CIFAR-FS 1-shot (test)

77.66Accuracy

6

Feb 26, 2026

93.5Accuracy (plane)

6

Feb 26, 2026

95.01Accuracy

6

Feb 27, 2026

80.78Accuracy

6

Feb 26, 2026

77.15Accuracy

6

Feb 26, 2026

0.966Accuracy

6

Feb 26, 2026

83.59Accuracy

6

Feb 26, 2026

97.08Training Accuracy

6

Feb 26, 2026

CIFAR-10 Symmetric noise 0.8 manually corrupted (test)

52.27Accuracy

6

Feb 26, 2026

76.3Top-1 Accuracy (Clean)

6

Feb 26, 2026

SVHN full (test)

Shake-Shake (26 2x96d) + AutoAugment

1Error Rate

6

Feb 26, 2026

75.93Accuracy (10% Noise)

6

Feb 26, 2026

CIFAR-10 (test)

89.83Acc (Uniform η=0.2)

6

Feb 26, 2026

CIFAR-10 + CIFAR-100 open-set noise (test)

truncated Lq loss

79.55Accuracy

6

Feb 26, 2026

Brain Tumor Dataset (test)

95.03Accuracy

6

Feb 26, 2026

ImageNet 10K (test)

28.4Top-1 Acc (Flat)

6

Feb 26, 2026

CIFAR-10 no data augmentation (test)

8.27Test Error Rate

6

Feb 26, 2026

ImageNet ILSVRC'15 (test)

ResNet (ILSVRC'15)

3.57Top-5 Error

6

Feb 26, 2026

Page 253 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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