GRASP: Geospatial pixel Reasoning viA Structured Policy learning

arXiv — cs.CV•Wednesday, October 29, 2025 at 4:00:00 AM

The recent paper on GRASP introduces a novel approach to geospatial pixel reasoning, which focuses on generating segmentation masks from natural-language instructions in remote sensing imagery. This method addresses the challenges of existing techniques that rely heavily on costly dense pixel-level annotations. By shifting the paradigm, GRASP aims to enhance the efficiency and accessibility of remote sensing data analysis, making it a significant development in the field.

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