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5-way Few-shot Classification research benchmarks · SOTA2 Research

5-way Few-shot Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

85.99Accuracy (5-shot)

150

Feb 26, 2026

Mini-ImageNet (test)

85.031-shot Accuracy

141

Feb 27, 2026

93.5Accuracy

99

Jun 5, 2026

99.74Accuracy

98

Jun 5, 2026

miniImageNet standard (test)

71.55Accuracy

91

Feb 26, 2026

85.4Accuracy (1-shot)

49

Feb 26, 2026

82.06Accuracy

42

Jun 5, 2026

tiered-ImageNet

86.03Accuracy

39

Feb 26, 2026

miniImageNet 5-way (test)

Dynamic Meta-filter (Ours)

67.761-shot Acc

39

Feb 26, 2026

27.86Accuracy

37

Mar 6, 2026

96.9Accuracy

37

Mar 6, 2026

64.81Accuracy

37

Mar 6, 2026

82.9Accuracy

36

Feb 26, 2026

tiered-ImageNet (test)

79.741-shot Acc

33

Feb 26, 2026

Omniglot (test)

99.8Accuracy (1-shot)

27

Feb 27, 2026

tieredImageNet (test)

83.5Accuracy (1-shot)

26

Feb 26, 2026

tieredImageNet 5-way (meta-test)

MetaOptNet-SVM(+EHG)

80.62Accuracy

24

Feb 26, 2026

miniImageNet 5-way (meta-test)

MetaOptNet-SVM(+EHG)

76.5Accuracy

24

Feb 26, 2026

93.2Mean Accuracy

18

Feb 26, 2026

48.12Acc (1-shot)

17

Feb 26, 2026

PlantVillage Under Visual Domain Shift

ProtoNet (Full)

71.21-shot Accuracy

8

Feb 26, 2026

CropDisease 50-shot (test)

97.91Accuracy

8

Feb 26, 2026

EuroSAT 50-shot (test)

91.94Accuracy

8

Feb 26, 2026

ISIC 50-shot (test)

60.59Accuracy

8

Feb 26, 2026

ChestX 50-shot (test)

0.298Accuracy

8

Feb 26, 2026

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