Yanxu Hu

Adversarial Feature Augmentation for Cross-Domain Few-Shot Classification

"Few-shot classification is a promising approach to solving the problem of classifying novel classes with only limited annotated data for training. Existing methods based on meta-learning predict novel-class labels for (target domain) testing tasks via meta knowledge learned from (source domain) tra…