A weakly supervised framework for real-world point cloud classification

2021 ◽  
Author(s):  
An Deng ◽  
Yunchao Wu ◽  
Peng Zhang ◽  
Zhuheng Lu ◽  
Weiqing Li ◽  
...  
Keyword(s):  
Real World ◽  
Point Cloud ◽  
Cloud Classification ◽  
Weakly Supervised ◽  
Point Cloud Classification ◽  
World Point

ERINet: Enhanced rotation-invariant network for point cloud classification

2021 ◽  
Vol 151 ◽  
pp. 180-186
Author(s):  
Ruibin Gu ◽  
Qiuxia Wu ◽  
Wing W.Y. Ng ◽  
Hongbin Xu ◽  
Zhiyong Wang
Keyword(s):  
Point Cloud ◽  
Rotation Invariant ◽  
Cloud Classification ◽  
Point Cloud Classification

DA-Net: Density-Adaptive Downsampling Network for Point Cloud Classification via End-to-End Learning

2021 ◽  
Author(s):  
Yanan Lin ◽  
Yan Huang ◽  
Shihao Zhou ◽  
Mengxi Jiang ◽  
Tianlong Wang ◽  
...  
Keyword(s):  
Point Cloud ◽  
Cloud Classification ◽  
End To End ◽  
Point Cloud Classification

Small Sample Airborne LiDAR Point Cloud Classification Based on Transfer Learning

2020 ◽  
Vol 47 (11) ◽  
pp. 1110002
Author(s):  
雷相达 Lei Xiangda ◽  
王宏涛 Wang Hongtao ◽  
赵宗泽 Zhao Zongze
Keyword(s):  
Transfer Learning ◽  
Point Cloud ◽  
Small Sample ◽  
Airborne Lidar ◽  
Cloud Classification ◽  
Point Cloud Classification

Three-Dimensional Point Cloud Classification of Large Outdoor Scenes Based on Vertical Slice Sampling and Centroid Distance Histogram

2018 ◽  
Vol 45 (10) ◽  
pp. 1004001
Author(s):  
佟国峰 Tong Guofeng ◽  
杜宪策 Du Xiance ◽  
李勇 Li Yong ◽  
陈槐嵘 Chen Huairong ◽  
张庆春 Zhang Qingchun
Keyword(s):  
Point Cloud ◽  
Three Dimensional ◽  
Slice Sampling ◽  
Cloud Classification ◽  
Centroid Distance ◽  
Outdoor Scenes ◽  
Vertical Slice ◽  
Point Cloud Classification ◽  
Distance Histogram

Point Cloud Classification Algorithm Based on IPTD and SVM

2019 ◽  
Vol 56 (16) ◽  
pp. 161002
Author(s):  
释小松 Xiaosong Shi ◽  
程英蕾 Yinglei Cheng ◽  
赵中阳 Zhongyang Zhao ◽  
秦先祥 Xianxiang Qin
Keyword(s):  
Point Cloud ◽  
Classification Algorithm ◽  
Cloud Classification ◽  
Point Cloud Classification
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