Point cloud semantic scene segmentation based on coordinate convolution

Author:

Zhang Zhaoxuan1,Li Kun1,Yin Xuefeng1,Piao Xinglin2,Wang Yuxin1,Yang Xin1,Yin Baocai12

Affiliation:

1. Dalian University of Technology Dalian China

2. Peng Cheng Laboratory Shenzhen China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Wiley

Subject

Computer Graphics and Computer-Aided Design,Software

Reference28 articles.

1. Indoor Scene Understanding with RGB-D Images: Bottom-up Segmentation, Object Detection and Semantic Segmentation

2. SimonyanK ZissermanA. Very deep convolutional networks for large‐scale image recognition;2014. arXiv preprint arXiv:14091556.

3. WuZ SongS KhoslaA et al. 3d shapenets: A deep representation for volumetric shapes. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Boston MA USA; June 7‐12 2015. p. 1912–1920.

4. QiCR SuH NießnerM DaiA YanM GuibasLJ. Volumetric and multi‐view Cnns for object classification on 3d data. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Las Vegas NV USA; June 27‐30 2016. p. 5648–5656.

5. QiCR SuH MoK GuibasLJ. Pointnet: Deep learning on point sets for 3d classification and segmentation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Honolulu HI USA; July 21‐26 2017. p. 652–660.

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