GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference

no code implementations • 28 Dec 2021 • Peng Tu, Yawen Huang, Feng Zheng, Zhenyu He, Liujun Cao, Ling Shao

In this paper, we propose a novel method for semi-supervised semantic segmentation named GuidedMix-Net, by leveraging labeled information to guide the learning of unlabeled instances.

Segmentation Semi-Supervised Semantic Segmentation