The domain adaptation of satellite images has recently gained an increasing attention to overcome the limited generalization abilities of machine learning models when segmenting large-scale satellite images. Most of the existing approaches seek for adapting the model from one domain to another. However, such single-source and single-target...
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July 1, 2020 (v1)Journal articleUploaded on: December 4, 2022
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November 13, 2019 (v1)Publication
International audience
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November 16, 2020 (v1)Publication
International audience
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June 14, 2020 (v1)Conference paper
Domain adaptation for semantic segmentation has recently been actively studied to increase the generalization capabilities of deep learning models. The vast majority of the domain adaptation methods tackle single-source case, where the model trained on a single source domain is adapted to a target domain. However, these methods have limited...
Uploaded on: December 4, 2022