Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning

Xingping Dong, Tianran Ouyang, Shengcai Liao +2

Most existing few-shot learning (FSL) methods require a large amount of labeled data in meta-training, which is a major limit. To reduce the requirement of labels, a semi-supervise…