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GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates

Land cover maps are a pivotal element in a wide range of Earth Observation (EO) applications. However, annotating large datasets to develop supervised systems for remote sensing (RS) semantic segmentation is costly and time-consuming. Unsupervised Domain Adaptation (UDA) could tackle these issues by adapting a model trained on a source domain, where labels are available, to a target domain, without annotations.

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Cite this as

Valerio Marsocci, Simone Scardapane, Nicolas Gonthier, Anatol Garioud, Clément Mallet (2024). Dataset: GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates. https://doi.org/10.57702/uap93zif

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Additional Info

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Defined In	https://doi.org/10.48550/arXiv.2304.07750
Author	Valerio Marsocci
More Authors	Simone Scardapane Nicolas Gonthier Anatol Garioud Clément Mallet
Homepage	https://ignf.github.io/FLAIR/