Learning from Future: A Novel Self-Training Framework for Semantic Segmentation

Ye Du, Yujun Shen, Haochen Wang +6

Self-training has shown great potential in semi-supervised learning. Its core idea is to use the model learned on labeled data to generate pseudo-labels for unlabeled samples, and…