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Cross Domain Few Shot On Eurosat

Metrics

5 shot

Results

Performance results of various models on this benchmark

Model Name	5 shot	Paper Title	Repository
FWT	83.01	Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation
ATA-FT	89.64	Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
StyleAdv	86.58	StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
GNN	83.64	Few-Shot Learning with Graph Neural Networks
LRP	77.14	Explanation-Guided Training for Cross-Domain Few-Shot Classification
wave-SAN	85.22	Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot Learning
RFS+MLP	78.13	Improving Cross-domain Few-shot Classification with Multilayer Perceptron
AFA	85.58	Adversarial Feature Augmentation for Cross-domain Few-shot Classification
ATA	83.75	Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
StyleAdv-FT	91.64	StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
BSCD-FSL	79.08	A Broader Study of Cross-Domain Few-Shot Learning

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Cross Domain Few Shot On Eurosat | SOTA | HyperAI