LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net

30 August 2019

Papers citing "LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net"

4 / 4 papers shown

Title
Language-Grounded Indoor 3D Semantic Segmentation in the Wild Dávid Rozenberszki Or Litany Angela Dai 3DV VLM 23 183 0 16 Apr 2022
LiMoSeg: Real-time Bird's Eye View based LiDAR Motion Segmentation S. Mohapatra Mona Hodaei S. Yogamani Stefan Milz H. Gotzig Martin Simon Hazem Rashed Patrick Mäder 19 27 0 08 Nov 2021
FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud Segmentation Aoran Xiao Xiaofei Yang Shijian Lu Dayan Guan Jiaxing Huang 3DPC 29 48 0 01 Mar 2021
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study Biao Gao Yancheng Pan Chengkun Li Sibo Geng Huijing Zhao 3DPC 19 25 0 08 Jun 2020