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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 222 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR-10 Instance-Dependent Noise 30% (test)

88.6Accuracy

7

Feb 26, 2026

51.08Accuracy

7

Feb 27, 2026

58.99Accuracy

7

Feb 27, 2026

17.38FGSM Error Rate

7

Feb 26, 2026

CIFAR10-DVS neuromorphic (test)

SpikingResformer

84.8Accuracy

7

Feb 26, 2026

Contrastive Learning Pre-training CorruptEncoder+ Attack (test)

ContrastiveCrop

62Backdoor Accuracy

7

Feb 26, 2026

Contrastive Learning Pre-training CorruptEncoder Attack (test)

ContrastiveCrop

62.1BA

7

Feb 26, 2026

Contrastive Learning Pre-training No Attack (test)

ContrastiveCrop

61.3Accuracy

7

Feb 26, 2026

ColoredMNIST biased scenario (test)

78.24Average Accuracy

7

Feb 26, 2026

WaterBirds biased scenario (test)

87.42Average Accuracy

7

Feb 26, 2026

ImageNet400 (200+200) 1k-subset (test)

44.87Joint Accuracy

7

Feb 26, 2026

83.09Joint Score

7

Feb 26, 2026

CIFAR100-C coarse-grained

85Accuracy

7

Feb 26, 2026

DR (APTOS 2019, DDR, IDRiD)

74.52Accuracy (D to A)

7

Feb 26, 2026

ImageNet v2 56 (test)

84Accuracy

7

Feb 26, 2026

ImageNet ReaL 6 (val)

0.91Accuracy

7

Feb 26, 2026

64Accuracy

7

Feb 27, 2026

82.6Accuracy

7

Feb 27, 2026

ImageNet 300 Epochs (val)

73.14Top-1 Acc

7

Feb 26, 2026

TextureMNIST reversed (test)

Concept Distillation + L

56.57Accuracy

7

Feb 27, 2026

DecoyMNIST reversed (test)

99Accuracy

7

Feb 27, 2026

45Pruning Ratio

7

Feb 26, 2026

StanfordCars (test)

0.75Pruning Ratio

7

Feb 26, 2026

CIFAR-10 (test)

85.7Test Accuracy (Dir μ=0.6)

7

Feb 26, 2026

ImageNet IN-1K (val)

Diffusion Calibration

83.8Empirical Accuracy

7

Feb 26, 2026

Page 222 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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