AI RESEARCH
RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction
arXiv CS.CV
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ArXi:2605.26862v1 Announce Type: new Accurate road segmentation from aerial imagery is fundamental to many geospatial applications. However, existing datasets often suffer from limited scene diversity, low semantic granularity, and poor structural continuity, restricting their generalization across environments. To address these challenges, we