Yuwei Cao, Simone Teruggi, Francesco Fassi, Marco Scaioni. A Comprehensive Understanding of Machine Learning and Deep Learning Methods for 3D Architectural Cultural Heritage Point Cloud Semantic Segmentation. In Enrico Borgogno Mondino, Paola Zamperlin, editors, Geomatics for Green and Digital Transition - 25th Italian Conference, ASITA 2022, Genova, Italy, June 20-24, 2022, Proceedings. Volume 1651 of Communications in Computer and Information Science, pages 329-341, Springer, 2022. [doi]
@inproceedings{CaoTFS22,
title = {A Comprehensive Understanding of Machine Learning and Deep Learning Methods for 3D Architectural Cultural Heritage Point Cloud Semantic Segmentation},
author = {Yuwei Cao and Simone Teruggi and Francesco Fassi and Marco Scaioni},
year = {2022},
doi = {10.1007/978-3-031-17439-1_24},
url = {https://doi.org/10.1007/978-3-031-17439-1_24},
researchr = {https://researchr.org/publication/CaoTFS22},
cites = {0},
citedby = {0},
pages = {329-341},
booktitle = {Geomatics for Green and Digital Transition - 25th Italian Conference, ASITA 2022, Genova, Italy, June 20-24, 2022, Proceedings},
editor = {Enrico Borgogno Mondino and Paola Zamperlin},
volume = {1651},
series = {Communications in Computer and Information Science},
publisher = {Springer},
isbn = {978-3-031-17439-1},
}