Exploring Dual Representations in Large-Scale Point Clouds: A Simple Weakly Supervised Semantic Segmentation Framework

Author:

Liu Jiaming1ORCID,Wu Yue1ORCID,Gong Maoguo1ORCID,Miao Qiguang1ORCID,Ma Wenping1ORCID,Xu Cai1ORCID

Affiliation:

1. Xidian University, Xi'an, China

Funder

Natural Science Basic Research Plan in Shaanxi Province of China

National Natural Science Foundation of China

Publisher

ACM

Reference64 articles.

1. SalsaNet: Fast Road and Vehicle Segmentation in LiDAR Point Clouds for Autonomous Driving

2. Iro Armeni , Sasha Sax , Amir R Zamir , and Silvio Savarese . 2017. Joint 2d-3d-semantic data for indoor scene understanding. arXiv preprint arXiv:1702.01105 ( 2017 ). Iro Armeni, Sasha Sax, Amir R Zamir, and Silvio Savarese. 2017. Joint 2d-3d-semantic data for indoor scene understanding. arXiv preprint arXiv:1702.01105 (2017).

3. 3D Semantic Parsing of Large-Scale Indoor Spaces

4. SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences

5. Alexandre Boulch , Bertrand Le Saux , Nicolas Audebert, et al. 2017 . Unstructured point cloud semantic labeling using deep segmentation networks. 3dor@ eurographics, Vol. 3 (2017), 17--24. Alexandre Boulch, Bertrand Le Saux, Nicolas Audebert, et al. 2017. Unstructured point cloud semantic labeling using deep segmentation networks. 3dor@ eurographics, Vol. 3 (2017), 17--24.

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