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Few-shot classification research benchmarks – Page 11 · SOTA2 Research

Few-shot classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

PASCAL-5i 2-way 5-shot

85.6Accuracy (S^0)

4

Feb 26, 2026

PASCAL-5i 1-way 5-shot

91.5Accuracy (S^0)

4

Feb 26, 2026

MetaDataset Aircraft, CUB, VGG

66.31-shot Acc

4

Feb 26, 2026

QuickDraw target-average

38.74Accuracy

3

Feb 26, 2026

mini-ImageNet (target-average)

47.21Accuracy

3

Feb 26, 2026

Omniglot (target-average)

34.27Accuracy (%)

3

Feb 26, 2026

FGVC-Aircraft target-average

40.34Accuracy

3

Feb 26, 2026

CUB-200-2011 (target-average)

43.74Accuracy

3

Feb 26, 2026

PlantVillage (Early-to-Late)

0.83Cross-Stage Gen.

3

Feb 26, 2026

ImageNet and Variants domain generalization

73.56ImageNet Source Acc

3

Feb 26, 2026

11 datasets Average base-to-new generalization

0.847Base Performance

3

Feb 26, 2026

OfficeHome cross-domain

0.368Accuracy (C -> C)

3

Feb 26, 2026

83.97Base Accuracy

2

Feb 26, 2026

41.46Base Accuracy

2

Feb 26, 2026

97.81Base Score

2

Feb 26, 2026

Omniglot standard (Original Split)

96.68Accuracy (5-way 1-shot)

2

Feb 26, 2026

PlantVillage (Early-to-Early)

—

—Primary metric

0

Feb 26, 2026

miniImageNet Open-Ended 5-Way Real-Name (test)

—

—Accuracy

0

Feb 26, 2026

ModelNet40 v1 (test)

—

—Primary metric

0

Feb 26, 2026

Caltech-256 (test)

—

—Primary metric

0

Feb 26, 2026

CUB-200-2011 (test)

—

—Primary metric

0

Feb 26, 2026

Page 11 of 11

Popular datasets

ImageNet CUB Omniglot CIFAR ModelNet

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