Feature Transformation Network for Few-Shot Learning
Few-shot learning researches to learn a novel concept from a handful of labeled samples.Due to the small amount of training data, deep network has the risk of over-fitting.Although many previous approaches based on metric criterion can make significant progress to tackle this challenge, they Pot Holder not only ignore the association between query