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Few-shot classification research benchmarks – Page 5 · SOTA2 Research

Few-shot classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

VGG Flower Meta-Dataset 1.0 (test)

76.21Accuracy (1-shot)

16

Feb 26, 2026

ScanObjectNN 5-way 5-shot (Split 3)

0.792Accuracy

15

Mar 26, 2026

ScanObjectNN 5-way 5-shot (Split 2)

76.88Accuracy

15

Mar 26, 2026

ScanObjectNN 5-way 5-shot (Split 1)

77.34Accuracy

15

Mar 26, 2026

ScanObjectNN 5-way 1-shot (Split 3)

61.54Accuracy

15

Mar 26, 2026

ScanObjectNN 5-way 1-shot (Split 2)

58.76Accuracy

15

Mar 26, 2026

ScanObjectNN 5-way 1-shot (Split 1)

56.9Accuracy

15

Mar 26, 2026

Synthetic Few-shot (Avg.)

90.7ICL Score

15

Mar 17, 2026

Synthetic Few-shot (P_bursty=0.1, alpha=0)

92ICL Accuracy

15

Mar 17, 2026

Synthetic Classification Few-shot (P_bursty=0.5, alpha=0)

90.2ICL Score

15

Mar 17, 2026

Synthetic Few-shot (P_bursty=0.9, alpha=2)

88ICL Accuracy

15

Mar 17, 2026

Synthetic Few-shot (P_bursty=0.9, alpha=0)

91.2ICL Accuracy

15

Mar 17, 2026

Synthetic Few-shot (P_bursty=0.9, alpha=1)

92.1ICL Score

15

Mar 17, 2026

MiniImageNet -> CUB 5-way 5-shot cross-domain (test)

70.79Accuracy

15

Feb 26, 2026

CPTAC (k=10 samples)

97.8LUNG ST Performance

15

Feb 26, 2026

CPTAC k=5 positive samples (test)

96.8LUNG ST Score

15

Feb 26, 2026

93.4LUNG ST Performance

15

Feb 26, 2026

CPTAC Few-shot k=5 TCGA features (test)

96.8Lung ST Score

15

Feb 26, 2026

ModelNet40 10-way 20-shot v1 (test)

95.9Accuracy

15

Feb 26, 2026

ModelNet40 10-way 10-shot v1 (test)

94Accuracy

15

Feb 26, 2026

ModelNet40 5-way 20-shot v1 (test)

99.1Accuracy

15

Feb 26, 2026

ModelNet40 5-way 10-shot v1 (test)

0.974Accuracy

15

Feb 26, 2026

80.05Accuracy

15

Feb 26, 2026

Omniglot 20-way 5-shot

99.3Accuracy

15

Feb 26, 2026

Omniglot 20-way 1-shot

97.7Accuracy

15

Feb 26, 2026

Page 5 of 11

Popular datasets

ImageNet CUB Omniglot CIFAR ModelNet

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