3 papers
cs.CV2026
EoS-FM: Can an Ensemble of Specialist Models act as a Generalist Feature Extractor?
Pierre Adorni, Minh-Tan Pham, Stéphane May +1
Recent advances in foundation models have shown great promise in domains such as natural language processing and computer vision, and similar efforts are now emerging in the Earth…
cs.CV2025
Towards Efficient Benchmarking of Foundation Models in Remote Sensing: A Capabilities Encoding Approach
Pierre Adorni, Minh-Tan Pham, Stéphane May +1
Foundation models constitute a significant advancement in computer vision: after a single, albeit costly, training phase, they can address a wide array of tasks. In the field of Ea…
cs.CV2024
Mapping earth mounds from space
Baki Uzun, Shivam Pande, Gwendal Cachin-Bernard +4
Regular patterns of vegetation are considered widespread landscapes, although their global extent has never been estimated. Among them, spotted landscapes are of particular interes…