CVPR2020
Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation
Myeongjin Kim, Hyeran Byun
摘要
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.