CLUDA : Contrastive Learning in Unsupervised Domain Adaptation for Semantic Segmentation

1 code implementation • 27 Aug 2022 • Midhun Vayyat, Jaswin Kasi, Anuraag Bhattacharya, Shuaib Ahmed, Rahul Tallamraju

In this work, we propose CLUDA, a simple, yet novel method for performing unsupervised domain adaptation (UDA) for semantic segmentation by incorporating contrastive losses into a student-teacher learning paradigm, that makes use of pseudo-labels generated from the target domain by the teacher network.

Contrastive Learning Segmentation +3