Boosting Few-Shot Learning via Attentive Feature Regularization

no code implementations • 23 Mar 2024 • Xingyu Zhu, Shuo Wang, Jinda Lu, Yanbin Hao, Haifeng Liu, Xiangnan He

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 different categories with a blending factor.

Few-Shot Learning