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Papers Benchmarks Datasets Tasks

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

5-way 5-shot Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CD-FSL (ISIC, EuroSAT, CropDisease, ChestX) (test)

PE-Core-LoRA + OURS

61.41Accuracy (ISIC)

72

May 29, 2026

miniImageNet (test)

86.61Accuracy

56

Feb 26, 2026

Omniglot (test)

99.93Accuracy

49

Feb 26, 2026

tiered-ImageNet (test)

86.51Accuracy

32

Feb 26, 2026

98.9Mean Accuracy

27

Feb 26, 2026

BSCD-FSL (test)

28.93Accuracy (ChestX)

17

May 13, 2026

71.42Accuracy (0% Noise)

16

Feb 26, 2026

Similarity weighted prototypes (Euclidean)

68.51Accuracy (0% Noise)

16

Feb 26, 2026

PE-Core-LoRA + VtT

27.05Accuracy

14

Mar 6, 2026

PE-Core-LoRA + VtT

98.36Accuracy

14

Mar 6, 2026

PE-Core-LoRA + VtT

94.67Accuracy

14

Mar 6, 2026

PE-Core-LoRA + VtT

60.03Accuracy

14

Mar 6, 2026

96Mean Accuracy

10

Apr 13, 2026

Few-shot Image Classification Transfer Suite (Aircraft, Caltech, Cars, Cifar10, Cifar100, DTD, Flowers, Food, Pets, SUN) various (test)

36.86Accuracy (Aircraft)

6

Feb 26, 2026

54.6Accuracy

4

Mar 11, 2026

91.7Accuracy

4

Mar 11, 2026

97.1Accuracy

4

Mar 11, 2026

95.4Accuracy

4

Mar 11, 2026

CIFAR-100 (test)

56.1Accuracy

4

Feb 26, 2026

miniImageNet (test)

2Convergence Time (67% Acc, hours)

4

Feb 26, 2026

Aircraft, Quick Draw, Textures and MSCOCO 600 tasks

52.55Accuracy (BEST)

3

Apr 13, 2026

Popular datasets

ImageNet CIFAR ISIC EuroSAT Omniglot

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