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Few-shot classification research benchmarks – Page 7 · SOTA2 Research

Few-shot classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Indian Singers 50 classes (test)

58.9Accuracy

11

Feb 26, 2026

Korean Celebrities 50 classes (test)

60.6Accuracy

11

Feb 26, 2026

Indian Food 80 classes (test)

69.1Accuracy

11

Feb 26, 2026

78.1Base Accuracy

11

Feb 26, 2026

OOD Datasets (test)

91.33Accuracy (Traffic Signs)

11

Feb 26, 2026

Meta-Dataset In-Domain

75.72ImageNet Accuracy

11

Feb 26, 2026

ModelNet40 10-way (test)

94.110-shot Acc

11

Feb 26, 2026

CIFAR-FS 5-way 5-shot (test)

92.83Accuracy

11

Feb 26, 2026

Meta-Dataset Aggregate In-Domain and Out-of-Domain Mean

73.8In-Domain Accuracy

11

Feb 26, 2026

MSCOCO (out-of-domain)

46.2Accuracy

11

Feb 26, 2026

Easy datasets ImageNet, UCF101, Flowers102, Food101, OxfordPets, Caltech101

CLIP-LoRA + FMA

88.8Adaptation Score

10

Mar 4, 2026

Difficult datasets Aircraft, DTD, EuroSAT, SUN397, StanfordCars

CLIP-LoRA + FMA

77.8Adaptation Score

10

Mar 4, 2026

miniImageNet to Cars (test)

0.3711-shot Accuracy

10

Feb 26, 2026

CIFAR-10 Meta-Dataset (test)

83.7Mean Accuracy

10

Feb 26, 2026

MNIST Meta-Dataset (test)

97.1Mean Accuracy

10

Feb 26, 2026

MSCOCO Meta-Dataset (test)

0.598Mean Accuracy

10

Feb 26, 2026

Traffic Sign Meta-Dataset (test)

89.4Mean Accuracy

10

Feb 26, 2026

VGG Flower Meta-Dataset (test)

93.4Mean Accuracy

10

Apr 13, 2026

Fungi Meta-Dataset (test)

69.7Mean Accuracy

10

Feb 26, 2026

Quick Draw Meta-Dataset (test)

83.2Mean Accuracy

10

Feb 26, 2026

Textures Meta-Dataset (test)

79.1Mean Accuracy

10

Feb 26, 2026

Birds Meta-Dataset (test)

82.5Mean Accuracy

10

Feb 26, 2026

Omniglot Meta-Dataset (test)

96Mean Accuracy

10

Feb 26, 2026

ImageNet Meta-Dataset (test)

60.7Mean Accuracy

10

Feb 26, 2026

Plant Disease 5-way 5-shot

SimSiam + AugSelf

91.52Accuracy

10

Feb 26, 2026

Page 7 of 11

Popular datasets

ImageNet CUB Omniglot CIFAR ModelNet

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