@article{Ding_2019,<br/><span class="tab"></span> title={SEMANTIC SEGMENTATION OF INDOOR 3D POINT CLOUD WITH SLENET},<br/><span class="tab"></span> volume={XLII-2/W13},<br/><span class="tab"></span> ISSN={2194-9034},<br/><span class="tab"></span> url={http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-785-2019},<br/><span class="tab"></span> DOI={10.5194/isprs-archives-xlii-2-w13-785-2019},<br/><span class="tab"></span> journal={The International Archives of the Photogrammetry,<br/><span class="tab"></span> Remote Sensing and Spatial Information Sciences},<br/><span class="tab"></span> publisher={Copernicus GmbH},<br/><span class="tab"></span> author={Ding,<br/><span class="tab"></span> Y. and Zheng,<br/><span class="tab"></span> X. and Xiong,<br/><span class="tab"></span> H. and Zhang,<br/><span class="tab"></span> Y.},<br/><span class="tab"></span> year={2019},<br/><span class="tab"></span> month=jun,<br/><span class="tab"></span> pages={785–791} }