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Few-shot classification research benchmarks – Page 8 · SOTA2 Research

Few-shot classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Plant Disease 5-way 1-shot

SimSiam + AugSelf

77.93Accuracy

10

Feb 26, 2026

CIFAR100 (test)

72.2Accuracy

10

Feb 26, 2026

ImageNet All categories (test)

Cosine Classifier & Att. Weight Gen

58.16Top-5 Acc (N=1)

10

Feb 26, 2026

LS-100 → NSynth-100

67.23Accuracy

9

Jul 3, 2026

LS-100 → FSC-89

48.28Accuracy (FSC-89 Few-shot)

9

Jul 3, 2026

NSynth-100 → LS-100

61.28Acc

9

Jul 3, 2026

LS-100 to NSynth-100

65.35AUROC

9

Jul 3, 2026

LS-100 to FSC-89

44.13AUROC

9

Jul 3, 2026

NSynth 100 to LS-100

57.63AUROC

9

Jul 3, 2026

FSC-89 to LS-100

63.11AUROC

9

Jul 3, 2026

33.95-way 1-shot Accuracy

9

Jun 19, 2026

Weight Recycling

76.42Accuracy

9

May 22, 2026

Weight Recycling

94.81Accuracy

9

May 22, 2026

Weight Recycling

74.41Accuracy

9

May 22, 2026

Weight Recycling

89.6Accuracy

9

May 22, 2026

98.91Accuracy

9

May 22, 2026

64.53Accuracy

9

May 22, 2026

Multi-dataset Average (CUB-Birds, Aircraft, Omniglot, VGG Flower, Mini-Imagenet, Quickdraw) (test)

43.19Accuracy

9

Feb 26, 2026

PlantVillage 5-Way

89.41-Shot Accuracy

9

Feb 26, 2026

51.64Accuracy

9

Feb 26, 2026

45.23Accuracy

9

Feb 26, 2026

35.52Accuracy

9

Feb 26, 2026

Omniglot standard (Random Split)

99.7Accuracy (5-way 1-shot)

9

Feb 26, 2026

tieredImageNet (meta-test)

34.8Accuracy (5-way 1-shot)

8

Jul 7, 2026

45.1Average Accuracy

8

Jul 7, 2026

Page 8 of 11

Popular datasets

ImageNet CUB Omniglot CIFAR ModelNet

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