A single road segmentation model, trained with cross-resolution distillation and topology losses across a resolution curriculum, outperforms prior methods on global and city benchmarks without per-domain fine-tuning.
In: Computer Vision – ECCV 2020: 16th European Conf., Glasgow, UK, August 23–28
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Distilled Roads: Generalisable Road Network Extraction Across Sensors, Resolutions, and Region
A single road segmentation model, trained with cross-resolution distillation and topology losses across a resolution curriculum, outperforms prior methods on global and city benchmarks without per-domain fine-tuning.