TU3.R15.2
CROSS-SCALE PRETRAINING: ENHANCING SELF-SUPERVISED LEARNING FOR LOW-RESOLUTION SATELLITE IMAGERY FOR SEMANTIC SEGMENTATION
John Waithaka, Gustave Bwirayesu, Moise Busogi, Carnegie Mellon University Africa
Session:
TU3.R15: Foundation Models & Pretraining for Earth Observation Oral
Track:
AI and Big Data
Location:
Jefferson West
Presentation Time:
Tuesday, 11 August, 14:00 - 14:15
Session Co-Chairs:
Ronny Hänsch, DLR and Dalton Lunga, ORNL
Presentation
Discussion
Resources
No resources available.
Session TU3.R15
TU3.R15.1: A Roadmap for Unified Multi-Modal Foundation Models in Earth Observation
Kumar Ankur, Nidhi Jha, Sujit Roy, The University of Alabama in Huntsville; Rahul Ramachandran, National Aeronautics and Space Administration
TU3.R15.2: CROSS-SCALE PRETRAINING: ENHANCING SELF-SUPERVISED LEARNING FOR LOW-RESOLUTION SATELLITE IMAGERY FOR SEMANTIC SEGMENTATION
John Waithaka, Gustave Bwirayesu, Moise Busogi, Carnegie Mellon University Africa
TU3.R15.3: Low-Rank Adaptation of Geospatial Foundation Models for Wildfire Mapping Using Sentinel-2 Data
Ali Shibli, Andrea Nascetti, Yifang Ban, KTH Royal Institute of Technology
TU3.R15.4: FINE-TUNING NASA PRITHVI EO V2.0 FOUNDATION MODEL FOR DYNAMIC IRRIGATION MAPPING
Ehsan Jalilvand, Sujay Kumar, NASA goddard space flight center; Hamed Alemohammad, Clark University; Mohammad Fotouhi, John Deere co; Sam Khallaghi, Clark University
Resources
No resources available.