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}
}