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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 37 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Colored-MNIST (CMNIST)

94.43Accuracy

42

Feb 26, 2026

ImageNet 10 (test)

97.2Accuracy

42

Feb 26, 2026

CIFAR-10 40% asymmetric noise (test)

95.6Final Accuracy

42

Feb 26, 2026

CIFAR-10N (Random 1)

97.39Accuracy

42

May 21, 2026

99Accuracy

41

Jun 23, 2026

98.92Accuracy (MNIST-M Source)

41

Jun 4, 2026

68.05Robust Accuracy

41

Apr 23, 2026

EMNIST Dir(0.1) (test)

96.55Test Accuracy

41

Apr 21, 2026

MNIST DIRICHLET partition (test)

94.71Accuracy

41

Jun 30, 2026

CIFAR-100 Dirichlet-0.1 (test)

71.85Accuracy

41

May 29, 2026

ImageNet-1K standard (val test)

64.69Top-1 Accuracy

41

Apr 6, 2026

ImageNet1K (val)

BiXT-Ti/4 ↑384

83.1Top-1 Accuracy

41

Apr 20, 2026

TissueMNIST (test)

84.54Accuracy

41

Feb 26, 2026

86.7Accuracy

41

Jun 23, 2026

Describable Textures

89Accuracy

41

Feb 26, 2026

ImageNet-R Target

78.83Accuracy

41

May 8, 2026

ImageNet 1k (test val)

EfficientNet-B5

83.6Top-1 Accuracy

41

Feb 26, 2026

0Training Loss

41

May 8, 2026

miniImageNet 5-way 1-shot (meta-test)

62.64Accuracy

41

Feb 26, 2026

CIFAR-LT-100 Imbalance Factor 10 (test)

Weight Balancing

68.67Top-1 Accuracy

41

Feb 26, 2026

ImageNet Real labels v1 (test)

FixEfficientNet

90.9Top-1 Accuracy

41

Feb 26, 2026

79.28Accuracy

40

Jun 30, 2026

0.08Generalization Error (G(W))

40

Jun 15, 2026

84.47Group Accuracy (Top-1)

40

Jun 11, 2026

77.85Top-1 Accuracy (Group Avg)

40

Jun 11, 2026

Page 37 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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