CVPR2020

Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation

Myeongjin Kim, Hyeran Byun

Abstract

Figure 1. OnDA framework in action. We show images with varying intensity of rain (from 0 to 200mm). When dealing with such complicated domain shifts, both pretrained networks and offline adaptations struggle, whereas our online framework is able to adapt, without forgetting.