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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 180 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR-10 (test)

85.85Accuracy (rho=0.4, zeta=0.8)

9

Feb 26, 2026

71.35Accuracy (rho=0.4, zeta=0.8)

9

Feb 26, 2026

Cost-Sensitive Learning

88.22Recall

9

Feb 26, 2026

75.9Top-1 Accuracy

9

Feb 26, 2026

79.1Top-1 Accuracy

9

Feb 26, 2026

70.7Top-1 Accuracy

9

Feb 26, 2026

CMNIST original unshifted

Hierarchical Group DRO

73.6Worst Accuracy

9

Feb 26, 2026

CIFAR-10 (unseen classes 5-9)

78.76Accuracy

9

Feb 26, 2026

Fashion-MNIST unseen classes 5-9

84.7Accuracy

9

Feb 26, 2026

MNIST (unseen classes 5-9)

89.47Accuracy

9

Feb 26, 2026

95.27Validation Accuracy

9

Feb 26, 2026

CIFAR-10 i.i.d.

0.96SSIM

9

Feb 26, 2026

LipNeXt L32W2896

63.6Clean Accuracy

9

Feb 26, 2026

LipNeXt L32W2896

92.7Clean Accuracy

9

Feb 26, 2026

CIFAR-10 (test)

30.16Accuracy

9

Feb 26, 2026

CIFAR-10 Dir(0.01), 50 clients, 20% participation

72.74Accuracy (SQ 4bit)

9

Feb 26, 2026

Fashion-MNIST Dir(0.01), 50 clients, 20% participation

82.95Acc (SQ 4bit)

9

Feb 26, 2026

CIFAR-10 Dir(0.01), 10 clients, full participation

75.49Accuracy (4bit SQ)

9

Feb 26, 2026

Fashion-MNIST Dir(0.01), 10 clients, full participation

84.17Accuracy (SQ 4bit)

9

Feb 26, 2026

CIFAR-10 Path(1), 10 clients, full participation

71.56Accuracy (SQ 4bit)

9

Feb 26, 2026

Fashion-MNIST Path(1), 10 clients, full participation

84.04Accuracy (4bit Quantization)

9

Feb 26, 2026

83.89Accuracy (Clean)

9

Feb 27, 2026

60.47Clean Accuracy

9

Feb 27, 2026

76.9AUROC

9

Feb 26, 2026

88.2AUROC

9

Feb 26, 2026

Page 180 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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