WebApr 30, 2024 · We propose adding a frame field output to a deep image segmentation model for extracting buildings from remote sensing images. This improves segmentation quality … WebWhile state of the art image segmentation models typically output segmentations in raster format, applications in geographic information systems often require vector polygons. To help bridge the gap between deep network output and the format used in downstream tasks, we add a frame field output to a deep segmentation model for extracting buildings from …
Lydorn/Polygonization-by-Frame-Field-Learning - Github
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Lydorn / Polygonization-by-Frame-Field-Learning - GitPlanet
WebProjects that are alternatives of or similar to Polygonization-by-Frame-Field-Learning. ... Mutual labels: remote. pixel-decoder. A tool for running deep learning algorithms for semantic segmentation with satellite imagery. Stars: 68 (-57.76%) Mutual labels: segmentation. ATtiny13-TinyRemoteXL. 12-Button IR Remote Control. Stars: 33 (-79.5%) WebApr 30, 2024 · This improves segmentation quality and provides structural information, facilitating more accurate polygonization. To this end, we train a deep neural network, … WebWe add a frame field output to an image segmentation neural network to improve segmentation quality and provide structural information for the subsequent … north korean military tactics