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Image Classification research benchmarks – Page 78 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Cifar10 Dirichlet(0.3) (test)

84.82Test Accuracy

21

Feb 27, 2026

81.54Accuracy

21

Apr 3, 2026

Inductive-SUBSELNET

69.24Speedup

21

Feb 26, 2026

90.45Accuracy (Natural)

21

Feb 26, 2026

ImageNet-1K 1.0 (val)

85.1Top-1 Accuracy

21

Feb 26, 2026

ImageNet 1k (val)

One-Shot Weight-Coupling Learning

71Top-1 Accuracy

21

Feb 26, 2026

ImageNet New classes

73.92New Accuracy (%)

21

Feb 26, 2026

64.8Accuracy

21

Jul 2, 2026

71.37Top-1 Acc

21

May 12, 2026

CIFAR-100 (test)

61.49G.acc

21

Feb 26, 2026

77.84G.acc

21

Feb 26, 2026

ImageNet 1k (val)

72.35Accuracy

21

Feb 26, 2026

0.019Error Rate

21

Feb 26, 2026

Breast UltraSound (BUS) dataset

88.5Accuracy

21

Apr 3, 2026

CIFAR-100 LT IR=10 (test)

68.1Accuracy

21

Feb 26, 2026

82.9Accuracy

21

Feb 26, 2026

CIFAR-100 semantic noise (test)

68.44Accuracy

21

Feb 26, 2026

ImageNet 1k (val)

76.89Top-1 Accuracy

21

Feb 26, 2026

Patching Task Suite Average

Multiple models

84.4Average Accuracy

21

Feb 26, 2026

CIFAR-100-LT (Imbalance 20)

Difficulty-Net + Balanced Softmax

61.72Top-1 Accuracy

21

Feb 26, 2026

CIFAR-100-LT Imbalance 200

Difficulty-Net + LAS

48.32Top-1 Accuracy

21

Feb 26, 2026

Stylized-ImageNet (test)

23.1Accuracy

21

Jul 7, 2026

55.44Accuracy

21

Feb 26, 2026

CIFAR10 alpha=100

84.88Accuracy

21

Feb 26, 2026

CIFAR10 (alpha=0.05)

76.98Accuracy

21

Feb 26, 2026

Page 78 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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