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Unsupervised Domain Adaptation Using Generative Adversarial Networks for Semantic Segmentation of Aerial Images

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Unsupervised Domain Adaptation Using Generative Adversarial Networks for Semantic Segmentation of Aerial Images (https://www.mdpi.com/2072-4292/11/11/1369)

Implementation of the following architecture proposed in the paper

UDA-GAN

If you are interested in our work, please cite:

@article{Benjdira_2019, title={Unsupervised Domain Adaptation Using Generative Adversarial Networks for Semantic Segmentation of Aerial Images}, volume={11}, ISSN={2072-4292}, url={http://dx.doi.org/10.3390/rs11111369}, DOI={10.3390/rs11111369}, number={11}, journal={Remote Sensing}, publisher={MDPI AG}, author={Benjdira, Bilel and Bazi, Yakoub and Koubaa, Anis and Ouni, Kais}, year={2019}, month={Jun}, pages={1369}}

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Unsupervised Domain Adaptation Using Generative Adversarial Networks for Semantic Segmentation of Aerial Images

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