Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning

Yuqing Hu, Vincent Gripon, Stéphane Pateux

Few-shot classification is a challenging problem due to the uncertainty caused by using few labelled samples. In the past few years, many methods have been proposed with the common…