@article{https://doi.org/10.3929/ethz-b-000538290,<br/><span class="tab"></span>
  doi = {10.3929/ETHZ-B-000538290},<br/><span class="tab"></span>
  url = {http://hdl.handle.net/20.500.11850/538290},<br/><span class="tab"></span>
  author = {{Pellis,<br/><span class="tab"></span> Eugenio} and {Murtiyoso,<br/><span class="tab"></span> Arnadi} and {Masiero,<br/><span class="tab"></span> Andrea} and {Tucci,<br/><span class="tab"></span> Grazia} and {Betti,<br/><span class="tab"></span> Michele} and {Grussenmeyer,<br/><span class="tab"></span> Pierre}},<br/><span class="tab"></span>
  keywords = {3D point cloud,<br/><span class="tab"></span> Deep learning,<br/><span class="tab"></span> Semantic segmentation,<br/><span class="tab"></span> Cultural heritage},<br/><span class="tab"></span>
  language = {en},<br/><span class="tab"></span>
  title = {An Image-Based Deep Learning Workflow for 3D Heritage Point Cloud Semantic Segmentation},<br/><span class="tab"></span>
  publisher = {ETH Zurich},<br/><span class="tab"></span>
  year = {2022}
}