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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 312 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

ImageNet 100% labels (val)

86.9Top-1 Acc

3

Feb 26, 2026

92.2Overall Accuracy

3

Feb 26, 2026

78.52Victim Accuracy

3

Feb 26, 2026

83.3Top-1 Accuracy

3

Feb 26, 2026

VIS-DA 45 (test)

Fully Supervised

23.7Classification Error

3

Feb 26, 2026

ImageYellow 128x128 (val)

87.5Accuracy

3

Feb 26, 2026

Rotated Fashion-MNIST Out-of-distribution (test)

Single sample generalization

80.8Accuracy

3

Feb 26, 2026

Rotated Fashion-MNIST In-distribution (test)

Single sample generalization

90.9Accuracy

3

Feb 26, 2026

Rotated MNIST Out-of-distribution (test)

Single sample generalization

95.8Accuracy

3

Feb 26, 2026

Food-101 Red Meat (test)

71.2Accuracy

3

Feb 26, 2026

CIFAR10-STA (test)

63.2Accuracy

3

Feb 26, 2026

CIFAR10.1 (test)

90.64Accuracy

3

Feb 26, 2026

CIFAR-100 standard (test)

79.27Accuracy (0% noise)

3

Feb 26, 2026

CIFAR-10 standard (test)

94.78Accuracy (0% noise)

3

Feb 26, 2026

CIFAR-100 (test)

94.73Fine-tuned Test Accuracy

3

Feb 26, 2026

70.58Top-1 Accuracy

3

Feb 26, 2026

76.43Original Accuracy

3

Feb 26, 2026

CIFAR-10 Error Rate e=0.4

83.81Accuracy

3

Feb 26, 2026

CIFAR-10 Error Rate e=0.2

87.72Accuracy

3

Feb 26, 2026

61.37Attributional Robustness (IN)

3

Feb 26, 2026

CIFAR-10 (test)

85.44GN

3

Feb 26, 2026

58.42Accuracy (Art)

3

Feb 26, 2026

Rotated Fashion-MNIST out-domain

78.9Accuracy

3

Feb 26, 2026

Rotated Fashion-MNIST (in-domain)

89.7Accuracy

3

Feb 26, 2026

Places-LT 1.0 (test)

Meta-learning for long-tailed recognition (Ours, CE)

69.2Top-1 Error

3

Feb 26, 2026

Page 312 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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