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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 203 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Pathology unseen domain (test)

71.97Accuracy

8

Feb 26, 2026

96CIFAR10 Accuracy

8

Feb 26, 2026

CIFAR-100 (test)

80.2Accuracy (Sym Noise 0.2)

8

Feb 26, 2026

CIFAR-10 (test)

96.6Accuracy (Symmetric 0.2)

8

Feb 26, 2026

ImageNet (test)

0.027CWCE

8

Feb 26, 2026

48.9Average Accuracy

8

Feb 26, 2026

FLO (Oxford Flowers) (unseen)

71.9Accuracy

8

Feb 26, 2026

0.809Linear Accuracy

8

Feb 26, 2026

0.906Linear Accuracy

8

Feb 26, 2026

61.5Linear Accuracy

8

Feb 26, 2026

Digit Datasets (MNIST, USPS, SVHN, MNIST-M)

target-specified CUTI-domain

0Source Drop

8

Feb 26, 2026

MNIST-M (MM) (test)

95.4Accuracy

8

Feb 26, 2026

MNIST MT (test)

99.2Accuracy

8

Feb 26, 2026

94.21ID Accuracy

8

Feb 26, 2026

CIFAR-100 Low Data Heterogeneity

Homogeneous (largest)

62.51Accuracy

8

Feb 26, 2026

CIFAR-10 Low Data Heterogeneity

Homogeneous (largest)

84.48Accuracy

8

Feb 26, 2026

CIFAR-100 High Data Heterogeneity

Homogeneous (largest)

60.89Accuracy

8

Feb 26, 2026

4.3ECE

8

Feb 26, 2026

CIFAR-10 all-to-all setting, WaNet attack (test)

94.49Accuracy

8

Feb 26, 2026

CIFAR-10 all-to-all setting DynamicAtt attack (test)

94.4Accuracy

8

Feb 26, 2026

CIFAR-10 all-to-all setting, SIG attack (test)

94.66Accuracy

8

Feb 26, 2026

CIFAR-10 all-to-all setting, Blend attack (test)

94.89Accuracy

8

Feb 26, 2026

CIFAR-10 all-to-all setting, Badnet attack (test)

94.63Accuracy

8

Feb 26, 2026

MF-Dominoes (test)

68.8Minority Group Accuracy

8

May 21, 2026

ColoredMNIST 1.0 (Dout)

75Accuracy

8

Feb 27, 2026

Page 203 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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