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:
Gunston
Presentation Time:
Friday, 14 August, 09:15 - 09:30
Session Co-Chairs:
Felix Von Hagen, University of the Bundeswehr Munihc and Lawrence Stanislawski, United States Geological Survey
Presentation
Not logged in.
Not logged in.
Discussion
Not logged in.
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
Resources
No resources available.