2020
Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation
ECCV 2020poster
Self-supervised learning approaches for unsupervised domain adaptation (UDA) of semantic segmentation models suffer from challenges of predicting and selecting reasonable good quality pseudo labels.In this paper, we propose a novel approach of exploiting scale-invariance property of the semantic seg…