AMMD: Attentive maximum mean discrepancy for few-shot image classification

Ji Wu, Shipeng Wang, Jian Sun

Abstract: Highlights•We propose Attentive Maximum Mean Discrepancy (AMMD) metric in few-shot learning.•We use attention mechanisms to learn the importance of features in distributions.•Extensive experiments and analyses verify the effectiveness of the proposed AMMD.