More with Less: a Large Scale Remote Sensing VLM with a Simple Recipe

Excerpt

arXiv:2607.15942v2 Announce Type: replace-cross Abstract: Remote sensing vision-language models are increasingly expected to support open-ended reasoning over Earth Observation data and a variety of tasks. Most recent progress in this area has been driven by remote-sensing-specific architectural designs, often introducing new encoders, alignment modules, or task-specific fusion mechanisms. In this work, we challenge the necessity of such architectural specialization. We show that a generally cap