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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 131 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR-10 (test)

96.7Accuracy (Symmetric 20%)

13

Feb 26, 2026

19.4Top-1 Error

13

Feb 26, 2026

ImageNet-1K 1.0 (val)

80.5Zero-Shot Accuracy

13

Feb 26, 2026

ImageNet 1K (val)

78.66kNN Accuracy

13

Feb 26, 2026

DomainNet-345 (target)

76.7Overall Accuracy

13

Feb 26, 2026

CIFAR-100 i.i.d. 500 clients 2% participation (test)

41.16Accuracy (500R)

13

Feb 27, 2026

CIFAR-100 Dirichlet 0.6, 500 clients, 2% participation (test)

39.61Accuracy (500R)

13

Feb 27, 2026

CIFAR-100 Dirichlet 0.6 100 clients 5% participation (test)

58.82Accuracy (500R)

13

Feb 27, 2026

CIFAR-10 Dirichlet 0.6, 100 clients, 5% participation (test)

88.05Accuracy (500 Rounds)

13

Feb 27, 2026

ImageNet100 ISLVRC2012 (test)

85.4ImageNet100 Accuracy

13

Feb 26, 2026

CIFAR100 ISLVRC2012 (test)

86.5Acc (CIFAR100)

13

Feb 26, 2026

87.02Accuracy

13

Apr 21, 2026

N-Caltech101 (test)

81.73Accuracy

13

Feb 26, 2026

ImageNet 64x64 (non-iid)

38.7Accuracy

13

Feb 26, 2026

TinyImageNet (non-iid)

39Accuracy

13

Feb 26, 2026

FEMNIST (non-iid)

84Accuracy

13

Feb 26, 2026

CelebA HQ (test)

72.65F1 Score

13

Feb 26, 2026

ColorMNIST reversed (test)

Concept Distillation + L

50.93Accuracy

13

Feb 27, 2026

CoMatch + EPASS

9.15Error Rate (40 Labels)

13

Feb 26, 2026

79.04ID Accuracy

13

Feb 26, 2026

91.24Acc (Ratio 10)

13

Feb 26, 2026

ImageNet-1K 1.0 (val)

82.2Top-1 Acc

13

Feb 26, 2026

CIFAR-10 20% asymmetric noise

SANM(DivideMix)

95.4Accuracy

13

Feb 26, 2026

VTAB (Visual Task Adaptation Benchmark) (test)

65.4Avg Accuracy

13

Feb 26, 2026

Pascal VOC 2007 (val)

ML-Decoder + AAM

96.7mAP

13

Feb 26, 2026

Page 131 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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