FR4.R11.2

MULTIMODAL SELF-SUPERVISED LEARNING FOR BOOSTING CROP CLASSIFICATION USING SENTINEL2 AND PLANETSCOPE

Ankit Patnala, Scarlet Stadtler, Martin Schultz, Forschungszentrum Juelich, Germany; Juergen Gall, University of Bonn, Germany
Session:
FR4.R11: Large AI Models for EO Oral
Track:
Community-Contributed Sessions
Location:
Room 106
Presentation Time:
Fri, 21 Jul, 15:57 - 16:09 Pacific Time (UTC -7)
Session Co-Chairs:
Nicolas Longepe, ESA and Begum Demir, TU-Berlin
Session Manager:
HUMAIRA SANAM
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Session FR4.R11
FR4.R11.1: TEXT AS A RICHER SOURCE OF SUPERVISION IN SEMANTIC SEGMENTATION TASKS
Valerie Zermatten, Javiera Castillo Navarro, Lloyd Hughes, Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland; Tobias Kellenberger, Federal Office of Topography swisstopo, Switzerland; Devis Tuia, Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland
FR4.R11.2: MULTIMODAL SELF-SUPERVISED LEARNING FOR BOOSTING CROP CLASSIFICATION USING SENTINEL2 AND PLANETSCOPE
Ankit Patnala, Scarlet Stadtler, Martin Schultz, Forschungszentrum Juelich, Germany; Juergen Gall, University of Bonn, Germany
FR4.R11.3: SELF-LEARNING ONTOLOGY FOR NATURAL HAZARDS
Ion Grujdin, CEOSpaceTech, University Politehnica of Bucharest, Romania, Romania; Mihai Datcu, CEOSpaceTech, University Politehnica of Bucharest, Romania; Remote Sensing Technology Institute, German Aerospace Center (DLR), Germany, Romania
FR4.R11.4: LIT-4-RSVQA: LIGHTWEIGHT TRANSFORMER-BASED VISUAL QUESTION ANSWERING IN REMOTE SENSING
Leonard Hackel, Kai Norman Clasen, Technische Universität Berlin, Germany; Mahdyar Ravanbakhsh, Zalando SE Berlin, Germany; Begüm Demir, Technische Universität Berlin, Germany
FR4.R11.5: OVERCOMING LANGUAGE BIAS IN REMOTE SENSING VISUAL QUESTION ANSWERING VIA ADVERSARIAL TRAINING
Zhenghang Yuan, Lichao Mou, Xiaoxiang Zhu, Technical University of Munich, Germany
FR4.R11.6: A SELF-SUPERVISED CROSS-MODAL REMOTE SENSING FOUNDATION MODEL WITH MULTI-DOMAIN REPRESENTATION AND CROSS-DOMAIN FUSION
Yingchao Feng, Peijin Wang, Wenhui Diao, Qibin He, Huiyang Hu, Hanbo Bi, Xian Sun, Kun Fu, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China, China
Resources
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