Domain Adaptation for Semantic Segmentation in Remote Sensing using Deep Learning

This project aims to evaluate deep learning techniques applied to domain adaptation for the semantic segmentation of wide areas and time-asynchronous scenes in remote sensing applications. Read more at the Project Site