Deep Learning FrameWork for Urban Semantic Segmentation
The source code for DNet as described in the 15th Conference on Computer and Robot Vision (CRV) 2018 paper: Deep Autoencoders with Aggregated Residual Transformations for Urban Reconstruction from Remote Sensor Data.
@inproceedings{forbes2018deep,
title={Deep Autoencoders with Aggregated Residual Transformations for Urban Reconstruction from Remote Sensing Data},
author={Forbes, Timothy and Poullis, Charalambos},
booktitle={2018 15th Conference on Computer and Robot Vision (CRV)},
pages={23--30},
year={2018},
organization={IEEE}
}