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Found 1 papers, 1 papers with code
Adversarial Feature Augmentation for Cross-domain Few-shot Classification
Existing methods based on meta-learning predict novel-class labels for (target domain) testing tasks via meta knowledge learned from (source domain) training tasks of base classes.
Ranked #4 on
Cross-Domain Few-Shot
on EuroSAT
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