Learning Semantic Segmentation of Large-Scale Point Clouds With Random Sampling
We study the problem of efficient semantic segmentation of large-scale 3D point clouds. By relying on expensive sampling techniques or computationally heavy pre/post-processing steps, most existing approaches are only able to be trained and operate over small-scale point clouds. In this paper, we in...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 11 vom: 02. Nov., Seite 8338-8354
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| Auteur principal: |
Hu, Qingyong
(Auteur) |
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| Autres auteurs: |
Yang, Bo,
Xie, Linhai,
Rosa, Stefano,
Guo, Yulan,
Wang, Zhihua,
Trigoni, Niki,
Markham, Andrew |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2022
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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