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Cross Domain Few Shot On Isic2018

Metrics

5 shot

Results

Performance results of various models on this benchmark

Model Name	5 shot	Paper Title	Repository
ATA-FT	49.79	Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
RFS+MLP	46.33	Improving Cross-domain Few-shot Classification with Multilayer Perceptron
AFA	46.01	Adversarial Feature Augmentation for Cross-domain Few-shot Classification
GNN	43.94	Few-Shot Learning with Graph Neural Networks
wave-SAN	44.93	Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot Learning
StyleAdv	45.77	StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
LRP	44.14	Explanation-Guided Training for Cross-Domain Few-Shot Classification
StyleAdv-FT	53.05	StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
BSCD-FSL	48.11	A Broader Study of Cross-Domain Few-Shot Learning
ATA	44.91	Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
FWT	43.17	Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation

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