Topic: building-segmentation Goto Github
Some thing interesting about building-segmentation
Some thing interesting about building-segmentation
building-segmentation,A deep learning approach for buildings segmentation using detectron2 model developed by facebook research group (META)
User: asv53
Home Page: https://github.com/facebookresearch/detectron2
building-segmentation,Codes for TGRS paper: DisOptNet: Distilling Semantic Knowledge from Optical Images for Weather-independent Building Segmentation
User: jiankang1991
building-segmentation,We present a novel complex-valued convolutional and multi-feature fusion network (CVCMFF Net) specifically for building semantic segmentation of InSAR images. It can effectively segment the layover, shadow, and background on both the simulated InSAR building images and the real airborne InSAR images. The segmentation performance of CVCMFF Net is significantly improved compared with other state-of-the-art networks. The comparative experiments are link to https://github.com/Jiankun-chen/building-semantic-segmentation-of-InSAR-images
User: jiankun-chen
building-segmentation,Aerial Image segmentation using different EfficientNet based backbone encoders with UNet on Massachusetts Building and Road dataset
User: lostmartian
Home Page: https://arxiv.org/pdf/2307.03980.pdf
building-segmentation,Python notebook for building semantic segmentation from high resolution satellite imagery. A part of project SEERI, a collaboration between Braga Tech. and GIZ in developing website for estimating solar potential on building rooftop.
User: widifadi
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