ERef Bayreuth

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Toward Foundation Models for Earth Monitoring : Generalizable Deep Learning Models for Natural Hazard Segmentation

Title data

Jakubik, Johannes ; Muszynski, Michal ; Vössing, Michael ; Kühl, Niklas ; Brunschwiler, Thomas:
Toward Foundation Models for Earth Monitoring : Generalizable Deep Learning Models for Natural Hazard Segmentation.
In: 2023 IEEE International Geoscience and Remote Sensing Symposium : Proceedings. - Piscataway, NJ , 2023
DOI: https://doi.org/10.48550/arXiv.2301.09318

Further data

Item Type:	Article in a book
Refereed:	Yes
Institutions of the University:	Faculties Faculties > Faculty of Law, Business and Economics Faculties > Faculty of Law, Business and Economics > Department of Business Administration Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Informatics and Human-Centered Artificial Intelligence Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Informatics and Human-Centered Artificial Intelligence > Chair Business Informatics and Human-Centered Artificial Intelligence - Univ.-Prof. Dr.-Ing. Niklas Kühl Research Institutions > Central research institutes > Research Center for AI in Science and Society
Result of work at the UBT:	No
DDC Subjects:	000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics
Date Deposited:	17 Apr 2023 13:04
Last Modified:	06 Nov 2025 07:48
URI:	https://eref.uni-bayreuth.de/id/eprint/73712