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5-way 1-shot Classification research benchmarks · SOTA2 Research

5-way 1-shot Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

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

PE-Core-LoRA + OURS

45.01Accuracy (ISIC)

86

May 29, 2026

mini-ImageNet (test)

BaseTransformer

70.88Accuracy

43

Feb 26, 2026

Omniglot (test)

99.5Accuracy

34

Feb 26, 2026

69.6Top-1 Accuracy (ACC_1)

31

Feb 26, 2026

Supervised ProtoNets

98.35Accuracy

23

Feb 26, 2026

Omniglot Cross-domain transfer from CIFAR-FS (test)

Adaptive Placement

77.03Accuracy

15

Jun 24, 2026

PE-Core-LoRA + VtT

23.04Accuracy (%)

14

Mar 6, 2026

PE-Core-LoRA + VtT

92.61Accuracy

14

Mar 6, 2026

PE-Core-LoRA + VtT

86.16Accuracy

14

Mar 6, 2026

PE-Core-LoRA + VtT

42.2Accuracy

14

Mar 6, 2026

90.3Mean Accuracy

10

Apr 13, 2026

CIFAR-100 (test)

SimpleShot (CL2N)

0.401Accuracy

4

Feb 26, 2026

Aircraft, Quick Draw, Textures and MSCOCO 600 tasks

40.82Best Accuracy

3

Apr 13, 2026

Popular datasets

Omniglot ImageNet CIFAR ISIC EuroSAT

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