Semantically Proportional Patchmix for Few-Shot Learning

Jingquan Wang, Jing Xu, Yu Pan +1

Few-shot learning aims to classify unseen classes with only a limited number of labeled data. Recent works have demonstrated that training models with a simple transfer learning st…