Boosting Few-Shot Learning via Attentive Feature Regularization

Xingyu Zhu, Shuo Wang, Jinda Lu +3

Few-shot learning (FSL) based on manifold regularization aims to improve the recognition capacity of novel objects with limited training samples by mixing two samples from differen…