Self-Adaptive Label Augmentation for Semi-supervised Few-shot Classification

Xueliang Wang, Jianyu Cai, Shuiwang Ji +3

Few-shot classification aims to learn a model that can generalize well to new tasks when only a few labeled samples are available. To make use of unlabeled data that are more abund…