1 citations · 1 across the 5 of their papers we have counts for
5 papers
OceanSAR-2: A Universal Feature Extractor for SAR Ocean Observation
Alexandre Tuel, Thomas Kerdreux, Quentin Febvre +6
We present OceanSAR-2, the second generation of our foundation model for SAR-based ocean observation. Building on our earlier release, which pioneered self-supervised learning on S…
Efficient Self-Supervised Learning for Earth Observation via Dynamic Dataset Curation
Thomas Kerdreux, Alexandre Tuel, Quentin Febvre +2
Self-supervised learning (SSL) has enabled the development of vision foundation models for Earth Observation (EO), demonstrating strong transferability across diverse remote sensin…
WV-Net: A foundation model for SAR WV-mode satellite imagery trained using contrastive self-supervised learning on 10 million images
Yannik Glaser, Justin E. Stopa, Linnea M. Wolniewicz +5
The European Space Agency's Copernicus Sentinel-1 (S-1) mission is a constellation of C-band synthetic aperture radar (SAR) satellites that provide unprecedented monitoring of the…
Neural variational Data Assimilation with Uncertainty Quantification using SPDE priors
Maxime Beauchamp, Ronan Fablet, Simon Benaichouche +3
The spatio-temporal interpolation of large geophysical datasets has historically been addressed by Optimal Interpolation (OI) and more sophisticated equation-based or data-driven D…
Online Calibration of Deep Learning Sub-Models for Hybrid Numerical Modeling Systems
Said Ouala, Bertrand Chapron, Fabrice Collard +2
Artificial intelligence and deep learning are currently reshaping numerical simulation frameworks by introducing new modeling capabilities. These frameworks are extensively investi…