TESSERA v2 Explores Scaling for Earth Foundation Models
geotessera · hf · 2026-07-10
TESSERA v2 investigates scaling strategies for pixel-level Earth foundation models. Through large-scale comparative experiments, the authors provide best practices for more efficient training and deployment, including encoder scaling, selecting models based on downstream performance, and model distillation.
More from Research
- Researchers release 44B synthetic tokens for higher-quality pretraining data — vanstriendaniel · 2026-07-21
- ReViV reconstructs egocentric 4D viewer-and-scene dynamics from one monocular video — ethz-vlg · 2026-07-21
- A hand-worked batch norm example shows exactly what gets normalized and why — ProfTomYeh · 2026-07-21
- Google Research says diffusion creativity is a byproduct of smooth score learning — dl_weekly · 2026-07-21
- Open reproduction of Meta’s REWIRE data pipeline cuts the cost to about $11 — vanstriendaniel · 2026-07-21
- Nat Lambert finishes an RLHF book with a 10-hour course and training code — natolambert · 2026-07-21