1 code implementation • 17 Jul 2020 • Wilhelm Tranheden, Viktor Olsson, Juliano Pinto, Lennart Svensson
In this paper we address the problem of unsupervised domain adaptation (UDA), which attempts to train on labelled data from one domain (source domain), and simultaneously learn from unlabelled data in the domain of interest (target domain).
Ranked #14 on Domain Adaptation on Cityscapes to ACDC
2 code implementations • 15 Jul 2020 • Viktor Olsson, Wilhelm Tranheden, Juliano Pinto, Lennart Svensson
A key challenge is that common augmentations used in semi-supervised classification are less effective for semantic segmentation.