Cross-Domain Few-Shot Classification via Adversarial Task Augmentation

Haoqing Wang, Zhi-Hong Deng

Few-shot classification aims to recognize unseen classes with few labeled samples from each class. Many meta-learning models for few-shot classification elaborately design various…