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Image Classification research benchmarks – Page 124 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

TinyImageNet (test)

Local-Lip-B (+MaxMin)

36.9Vanilla Accuracy

14

Feb 26, 2026

0.986Accuracy

14

Feb 26, 2026

100Accuracy

14

Feb 26, 2026

99.92Accuracy

14

Feb 26, 2026

CIFAR-100 Long-tailed (test)

54.6Accuracy (IF=100)

14

Feb 26, 2026

84.44Top-1 Accuracy

14

Feb 26, 2026

52.69Accuracy

14

Feb 26, 2026

69.23Mean Accuracy

14

Feb 26, 2026

COVIDx CRX-2 (1000 samples)

93.97Mean Accuracy

14

Feb 26, 2026

COVIDx CRX-2 (500 samples)

91.56Mean Accuracy

14

Feb 26, 2026

COVIDx CRX-2 (100 samples)

83.06Mean Accuracy

14

Feb 26, 2026

CIFAR-100 Long-tailed Imbalance factor 0.01 (test)

ResLT (3 experts)

49.73Top-1 Acc

14

Feb 26, 2026

ImageNet Extreme low-shot 5 images per class 1K

72.4Top-1 Acc

14

Feb 27, 2026

Cross-Domain Classification Suite (12 datasets) (test)

49.89ChestX Accuracy

14

Feb 26, 2026

CIFAR-10 (test)

92.82Best Accuracy

14

Feb 26, 2026

CIFAR-10 (test)

0.204NLL

14

Feb 26, 2026

CIFAR-10 (test)

Stochastic-LWTA

82.6AutoAttack Accuracy

14

Feb 26, 2026

0.1Delta Top-1

14

Feb 26, 2026

ImageNet LT 1.1 (val)

48.41Top-1 Acc

14

Feb 26, 2026

ImageNet 1k (val)

74.62Top-1 Accuracy

14

Feb 26, 2026

CIFAR-100 (test)

77.44Accuracy (40% Noise)

14

Feb 26, 2026

CIFAR-10 (test)

95.52Accuracy (40% Noise)

14

Feb 26, 2026

88.211-point MAP

14

Feb 26, 2026

91.9Mean Accuracy

14

Apr 10, 2026

Waterbirds Flip (test)

CF(CAGAN) + F(Random) + Sal

90.6Accuracy

14

Feb 26, 2026

Page 124 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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