Dimitri Gominski, our former doctoral student, currently in postdoc at the University of Copenhagen, won the Best paper award at the earthvision 2022 workshop in conjunction with the CVPR'2022 conference, with the paper entitled "Cross-dataset learning for generalizable land use scene classification". A paper which relates to his thesis work iunder co-supervision of Dr.Valérie Gouet-Brunet at the National Institute of Geography (IGN).

In this work, we lay the foundations towards an "universal" model for land-use mapping. We found that our data-driven approach leverages inter-dataset variety during training and intra-class similarities during testing yields good performance on 8 datasets, sometimes better than ad-hoc few-shot or cross-domain methods!

For more details, read our article here: https://openaccess.thecvf.com/content/CVPR2022W/EarthVision/html/Gominski_Cross-Dataset_Learning_for_Generalizable_Land_Use_Scene_Classification_CVPRW_2022_paper.html