TU1.R13.4

DATASET DISTILLATION FOR REMOTE SENSING DATA

Julius Lautz, Daniel Leal, Linus Scheibenreif, Damian Borth, Michael Mommert, University of St. Gallen, Switzerland
Session:
TU1.R13: Representation Learning in Remote Sensing I: Contrastive Pretraining and Few-Shot Learning Oral
Track:
Community-Contributed Sessions
Location:
Room 105
Presentation Time:
Tue, 18 Jul, 09:06 - 09:18 Pacific Time (UTC -8)
Session Co-Chairs:
Michael Mommert, University of St. Gallen and Lloyd Hughes, EPFL
Session Manager:
Shengjie Liu
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Session TU1.R13
TU1.R13.1: SELF SUPERVISED LEARNING IN REMOTE SENSING: QUANTIFYING APPROACHES EFFECTIVENESS ACROSS DOWNSTREAM TASKS
Marc Grau, Alexander Lontke, Xuemei Jiang, Linus Scheibenreif, University of St.Gallen, Switzerland
TU1.R13.2: DETECTION OF SETTLEMENTS IN TANZANIA AND MOZAMBIQUE BY MANY REGIONAL FEW-SHOT MODELS
Marc Rußwurm, Lloyd Haydn Hughes, École Polytechnique Fédérale de Lausanne, Switzerland; Giorgio Pasquali, e-GEOS S.p.A, Italy; Corneliu Octavian Dumitru, German Aerospace Center (DLR), Germany; Devis Tuia, École Polytechnique Fédérale de Lausanne, Switzerland
TU1.R13.3: THE EFFECT OF CONTRASTIVE PRETRAINING ON DOWNSTREAM TASKS IN OPTICAL REMOTE SENSING
Jonathan Prexl, Michael Schmitt, University of the Bundeswehr Munich, Germany
TU1.R13.4: DATASET DISTILLATION FOR REMOTE SENSING DATA
Julius Lautz, Daniel Leal, Linus Scheibenreif, Damian Borth, Michael Mommert, University of St. Gallen, Switzerland
TU1.R13.5: A MASKED IMAGE MODELING AUXILIARY DOMAIN ADAPTATION TRANSFORMER FOR REMOTE SENSING CROSS-SCENE CLASSIFICATION
Xinyi Zhang, Tong Zhang, Yin Zhuang, He Chen, Yongjing Cui, Beijing Key Laboratory of Embedded Real-time Information Processing Technology, Beijing Institute of Technology, China
Resources
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