21 citations · 21 across the 2 of their papers we have counts for
2 papers
cs.LG2026
GAIA: A Foundation Model for Operational Atmospheric Dynamics
Ata Akbari Asanjan, Olivia Alexander, Tom Berg +12
We introduce GAIA (Geospatial Artificial Intelligence for Atmospheres), a hybrid self-supervised geospatial foundation model that fuses Masked Autoencoders (MAE) with self-distilla…
cs.CV2026★ 21 cited
Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications
Daniela Szwarcman, Sujit Roy, Paolo Fraccaro +33
This paper presents Prithvi-EO-2.0, a new geospatial foundation model that offers significant improvements over its predecessor, Prithvi-EO-1.0. Trained on 4.2 million global time…