4 papers
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…
On the use of Graphs for Satellite Image Time Series
Corentin Dufourg, Charlotte Pelletier, Stéphane May +1
The Earth's surface is subject to complex and dynamic processes, ranging from large-scale phenomena such as tectonic plate movements to localized changes associated with ecosystems…
Explaining raw data complexity to improve satellite onboard processing
Adrien Dorise, Marjorie Bellizzi, Adrien Girard +2
With increasing processing power, deploying AI models for remote sensing directly onboard satellites is becoming feasible. However, new constraints arise, mainly when using raw, un…
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…