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Marszalek, Michael und Vinge, Rikard und Koch, Amelie und Wittmann, Isabelle und Albrecht, Conrad M (2025) Progress on benchmarking geospatial foundation models. DLR Wissens Austausch Workshops Machine Learning 11, 2025-10-28 - 2025-10-30, München, Deutschland.
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Kurzfassung
We present our efforts to establish a framework to put the promise of geospatial foundation models to the test: the generation of general embeddings one may utilize for a wide range of downstream tasks. To that end we provide a diverse set of applications from agriculture monitoring to maritime awareness that we utilized as hidden downstream tasks for the 2025 CVPR EARTHVISION data challenge. As a result we introduce the NeuCo-Bench framework that intends to grow an "Earth2Vec" community around neural compression bringing together academia, government entities, and the corporate world.
| elib-URL des Eintrags: | https://elib.dlr.de/218360/ | ||||||||||||||||||||||||
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| Dokumentart: | Konferenzbeitrag (Poster) | ||||||||||||||||||||||||
| Titel: | Progress on benchmarking geospatial foundation models | ||||||||||||||||||||||||
| Autoren: |
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| Datum: | 29 Oktober 2025 | ||||||||||||||||||||||||
| Referierte Publikation: | Nein | ||||||||||||||||||||||||
| Open Access: | Nein | ||||||||||||||||||||||||
| Gold Open Access: | Nein | ||||||||||||||||||||||||
| In SCOPUS: | Nein | ||||||||||||||||||||||||
| In ISI Web of Science: | Nein | ||||||||||||||||||||||||
| Status: | veröffentlicht | ||||||||||||||||||||||||
| Stichwörter: | Earth Observation, Neural Compression, compression for machines | ||||||||||||||||||||||||
| Veranstaltungstitel: | DLR Wissens Austausch Workshops Machine Learning 11 | ||||||||||||||||||||||||
| Veranstaltungsort: | München, Deutschland | ||||||||||||||||||||||||
| Veranstaltungsart: | Workshop | ||||||||||||||||||||||||
| Veranstaltungsbeginn: | 28 Oktober 2025 | ||||||||||||||||||||||||
| Veranstaltungsende: | 30 Oktober 2025 | ||||||||||||||||||||||||
| Veranstalter : | German Aerospace Center (DLR) | ||||||||||||||||||||||||
| HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||
| HGF - Programm: | Raumfahrt | ||||||||||||||||||||||||
| HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||||||||||
| DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||||||
| DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||||||||||
| DLR - Teilgebiet (Projekt, Vorhaben): | R - Optische Fernerkundung | ||||||||||||||||||||||||
| Standort: | Oberpfaffenhofen | ||||||||||||||||||||||||
| Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > EO Data Science | ||||||||||||||||||||||||
| Hinterlegt von: | Vinge, Rikard | ||||||||||||||||||||||||
| Hinterlegt am: | 10 Nov 2025 12:00 | ||||||||||||||||||||||||
| Letzte Änderung: | 18 Nov 2025 14:31 |
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