Preprint
Oct 2026
Anaximander: Interactively Running Geospatial Deep Learning Models on Any Compute Backend
Applying deep learning models to satellite imagery from within geographic information systems (GIS) remains high-friction for remote sensing practitioners. Models arrive in incompatible formats and target different compute environments, from local workstations to serverless cloud services. As a result, every evaluation...
satej soman, Akram Zaytar, G. Tadesse et al.
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