FR1.R10.4
Task-Driven Prompt Learning: A Joint Framework for Multi-modal Cloud Removal and Segmentation
Zaiyan Zhang, Jie Li, Shaowei Shi, Qiangqiang Yuan, Wuhan University, China
Session:
FR1.R10: Multimodal Foundation Models for Earth Observation: Unifying Multi-source Geospatial Data for a Holistic Planet Understanding (1/2) Oral
Track:
Community Contributed Themes
Location:
TBD
Presentation Time:
Fri, 14 Aug, 09:15 - 09:30
Session Co-Chairs:
Felix Von Hagen, University of the Bundeswehr Munihc and Jiaqi Yang,
Presentation
Discussion
Resources
No resources available.
Session FR1.R10
FR1.R10.1: SSL4EO-S12 V1.1: A MULTIMODAL, MULTISEASONAL DATASET FOR PRETRAINING, UPDATED
Benedikt Blumenstiel, IBM Research Europe, Switzerland; Nassim Ait Ali Braham, Conrad M Albrecht, German Aerospace Center, Germany; Stefano Maurogiovanni, Julich Supercomputing Centre, Germany; Paolo Fraccaro, IBM Research Europe, Switzerland
FR1.R10.2: Evaluating TerraMind's Generative Capabilities Across Geographies
Aaron Banze, German Aerospace Center, Germany; Mojgan Madadikhaljan, University of the Bundeswehr Munich, Germany; Rıdvan Salih Kuzu, German Aerospace Center, Germany; Michael Schmitt, University of the Bundeswehr Munich, Germany
FR1.R10.3: PROBABILISTIC REPRESENTATION LEARNING OF SATELLITE IMAGE TIME SERIES VIA PERCEIVER-VAE
Richard Faucheron, Silvia Valero, Centre d'Etudes Spatiales de la Biosphere, France; Selime Gürol, Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, France; Vincent Poulain, Thales Services Numériques, France
FR1.R10.4: Task-Driven Prompt Learning: A Joint Framework for Multi-modal Cloud Removal and Segmentation
Zaiyan Zhang, Jie Li, Shaowei Shi, Qiangqiang Yuan, Wuhan University, China
Contacts