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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 106 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

ImageNet 1% (train)

75Accuracy

16

Feb 26, 2026

ImageNet 5-shot (train)

68.9Accuracy

16

Feb 26, 2026

ImageNet 2-shot (train)

62.3Accuracy

16

Feb 26, 2026

ImageNet 1-shot (train)

53.1Accuracy

16

Feb 26, 2026

R-ExplaiNet26-64

96.68Accuracy

16

Jul 2, 2026

CIFAR-100 Symmetric Noisy Labels, r=0.6

43.9Accuracy

16

Feb 26, 2026

CIFAR-100 Symmetric Noisy Labels, r=0.4

54.7Accuracy

16

Feb 26, 2026

CIFAR-100 standard (test)

49.18Accuracy (Standard)

16

Feb 26, 2026

CIFAR-10 standard (test)

77.12Vanilla Accuracy

16

Feb 26, 2026

CIFAR100 (test)

84.15Natural Accuracy

16

Feb 27, 2026

CIFAR-10 (test)

RobustResNet-A4

61.88Robust Accuracy (PGD-20)

16

Feb 26, 2026

77.8Clean Accuracy

16

Feb 26, 2026

25.34Time/epoch (s)

16

Feb 26, 2026

ImageWoof 128x128 (test)

67Top-1 Accuracy

16

Feb 26, 2026

ImageNette 128x128 (test)

87.4Top-1 Acc

16

Feb 26, 2026

94.1Accuracy

16

Feb 26, 2026

99.1Top-1 Acc

16

Jun 5, 2026

ImageNet-Sketch 1.0 (test)

ViT-B/16 + PyramidAT

46.03Top-1 Acc

16

Jul 7, 2026

CIFAR-100N Fine

73.79Accuracy

16

Feb 26, 2026

STL10 (Nl=150, M=100k, γl=10) long-tailed (test)

FixMatch + LA + DASO

71.3Accuracy

16

Feb 26, 2026

CIFAR100 long-tailed (Nl=150, Ml=2000, γl=γu=10) (test)

FixMatch + LA + DASO

60.6Accuracy

16

Feb 26, 2026

CIFAR100 (Nl=50, Ml=400, γl=γu=10) long-tailed (test)

FixMatch + LA + DASO

50.7Accuracy

16

Feb 26, 2026

CIFAR10-LT (Nl=1500, Ml=3000, γl=γu=100) (test)

FixMatch + LA + DASO

82.5Accuracy

16

Feb 26, 2026

CIFAR-100-LT gamma=20 (test)

ReMixMatch w/ CoSSL

55.8Accuracy

16

Feb 26, 2026

defensive patch generation framework

70.81Accuracy

16

Feb 26, 2026

Page 106 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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