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Image Classification research benchmarks – Page 90 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Imbalanced CIFAR-10 long-tailed ratio 100 ResNet32 (test)

ABSGD (CB-LDAM)

80.45Top-1 Acc

19

Feb 26, 2026

ImageNet 1000-way 1.3M images (train val)

ImageNet-labels

19.3Conv1 Activation Value

19

Feb 26, 2026

MNIST-10 (test)

92.9Test Accuracy

19

Feb 26, 2026

ImageNette 10 cls, 9.5k (test)

62.46Accuracy

18

Jul 9, 2026

95.2Accuracy (Nat)

18

Jul 8, 2026

89.15Accuracy

18

Jul 7, 2026

80.6Accuracy

18

Jul 3, 2026

76.15Top-1 Accuracy Baseline

18

Jun 30, 2026

70.3Average Accuracy

18

Jun 25, 2026

Tiny-ImageNet (test)

50.3Clean Accuracy

18

Jun 17, 2026

31.6G.acc

18

Jun 16, 2026

46.3G.acc

18

Jun 16, 2026

100Accuracy Retained

18

Jun 11, 2026

CIFAR-100 Personalized

66.7Accuracy

18

Jun 9, 2026

CIFAR-10 Personalized

75.5Accuracy

18

Jun 9, 2026

Tiny ImageNet 200 class (test)

87.2Top-1 Accuracy

18

Jun 25, 2026

Tiny-ImageNet (Sharded 2-way split)

44.5Accuracy

18

May 29, 2026

CIFAR-100 2-way Sharded (test)

63.7Test Accuracy

18

May 29, 2026

ImageNet-Sketch

53.69Top-1 Accuracy

18

Jun 18, 2026

Dogs & Cats (test)

80.98Accuracy (BC)

18

May 28, 2026

RAMRM-PureMaskDiT

95.39Accuracy (Standard)

18

Jul 7, 2026

97.16Testing Accuracy

18

May 27, 2026

42.75Testing Accuracy

18

May 27, 2026

54.68Testing Accuracy

18

May 27, 2026

CIFAR-100 LTN (IF=10, Asymmetric Noise 0.2) (test)

CLIP+LA w. CARE

80.8Top-1 Accuracy

18

May 25, 2026

Page 90 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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