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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 76 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

SVHN 1.0 (test)

97.72Accuracy

22

Feb 26, 2026

RESISC-45 (val)

97.4Top-1 Accuracy

22

Mar 4, 2026

99.3Accuracy (Symmetric Noise η=0.2)

22

Feb 26, 2026

95.84Clean Accuracy

22

Feb 26, 2026

CIFAR-100 Standard data augmentation (test)

17.18Test Error

22

Feb 26, 2026

CIFAR-10 400 labels per class (test)

88.44Accuracy

22

Feb 26, 2026

CIFAR-10 standard (test)

2.83Top-1 Error

22

Feb 26, 2026

ImageNet-100 70% Compression (test)

84.82Top-1 Accuracy

21

Jul 9, 2026

CIFAR-10N Worst noise

79.2Test Accuracy

21

Jun 30, 2026

CIFAR-10N Random 1 noise

82.9Test Accuracy

21

Jun 30, 2026

CIFAR-10N Aggregate noise

83.4Test Accuracy

21

Jun 30, 2026

42.85Clean Accuracy

21

Jun 23, 2026

64.88Accuracy (Clean)

21

Jun 23, 2026

CIFAR100 LT-100

0.493Clean Accuracy

21

Jun 23, 2026

90.65Clean Accuracy

21

Jun 23, 2026

Original Attack

60.26Clean Accuracy

21

Jun 19, 2026

ViT Base Fast-ConvNN

0.834Test Loss

21

Jun 16, 2026

64.05Accuracy

21

Jun 12, 2026

93.4Robustness

21

Jun 23, 2026

Oxford-IIIT Pets

90.7Accuracy

21

Jun 23, 2026

91.54Top-1 Accuracy

21

Jun 2, 2026

8.64Training Time (min)

21

Apr 28, 2026

93.24Accuracy

21

Apr 24, 2026

SVHN class-independent noise (test)

94.94Accuracy

21

Apr 23, 2026

CIFAR-10 class-independent noise (test)

91.96Accuracy

21

Apr 23, 2026

Page 76 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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