Raster-to-Graph is a novel automatic recognition framework, which achieves structural and semantic recognition of floorplans, addresses the problem of obtaining high-quality vectorized floorplans from ...
Abstract: Deep networks require large, well-labeled data for effective training, but acquiring such data can be prohibitively costly or impractical. Domain adaptation (DA) addresses this challenge by ...
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