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Few-shot classification research benchmarks – Page 3 · SOTA2 Research

Few-shot classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CUB meta (test)

97.92Accuracy

35

Feb 26, 2026

Omniglot 5-way 5-shot (test)

99.58Accuracy

35

Feb 26, 2026

ImageNet mini (test)

OVE PG GP + Cosine (PL)

0.008ECE

34

Feb 26, 2026

tiered meta-iNat (test)

92.4Accuracy

34

Feb 26, 2026

meta-iNat (test)

96.3Accuracy

34

Feb 26, 2026

FSC-89 → NSynth-100

74.2Accuracy

31

Jul 8, 2026

72.91Accuracy

30

Feb 26, 2026

75.15Accuracy

30

Feb 26, 2026

CropDiseases (test)

94.95Accuracy

28

Feb 26, 2026

97.6Accuracy

28

Feb 26, 2026

CUB200 5-way 5-shot

Our Method (Improved EM)

95.19Accuracy

28

Feb 26, 2026

CUB K=50 (test)

88.6Accuracy

27

Feb 26, 2026

78.88Accuracy (1-shot)

27

Jul 8, 2026

MiniImageNet 5-Shot 5-Way (test)

0.821Accuracy

27

Feb 26, 2026

CIFAR-FS (test)

84.345-way 1-shot Acc

26

May 15, 2026

84.3Accuracy

26

Feb 26, 2026

77.45Accuracy

24

Apr 28, 2026

63.66Accuracy

24

Apr 28, 2026

76.21F1 Score

24

Apr 28, 2026

0.639F1 Score

24

Apr 28, 2026

99.48Accuracy

23

Jul 8, 2026

FSC-89 → LS-100

72.18Accuracy

22

Jul 8, 2026

Bongard-LOGO (test)

92.1Free-Form Score

21

Feb 26, 2026

CelebA Random meta (test)

Supervised-Oracle

92Accuracy

20

Jun 30, 2026

CelebA-Hair meta (test)

Supervised-Oracle

89.3Accuracy

20

Jun 30, 2026

Page 3 of 11

Popular datasets

ImageNet CUB Omniglot CIFAR ModelNet

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