A deep learning-based approach for semantic segmentation of floor plans, utilizing U-Net with a ResNet encoder. The model classifies key components such as rooms, walls, doors, and windows, enabling structured understanding of architectural layouts.
☆44Feb 19, 2025Updated last year
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