Efficient Urban-scale Point Clouds Segmentation with BEV Projection

19 September 2021

Papers citing "Efficient Urban-scale Point Clouds Segmentation with BEV Projection"

6 / 6 papers shown

Title
Deep Learning on 3D Semantic Segmentation: A Detailed Review Thodoris Betsas Andreas Georgopoulos Anastasios Doulamis Pierre Grussenmeyer 3DV 3DPC 28 1 0 04 Nov 2024
FASTC: A Fast Attentional Framework for Semantic Traversability Classification Using Point Cloud Yirui Chen Pengjin Wei Zhenhuan Liu Bingchao Wang Jie Yang Wei Liu 3DPC 25 1 0 24 Jun 2024
MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds Jiahui Liu Chirui Chang Jianhui Liu Xiaoyang Wu Lan Ma Xiaojuan Qi 3DPC 30 16 0 18 Jul 2023
HRHD-HK: A benchmark dataset of high-rise and high-density urban scenes for 3D semantic segmentation of photogrammetric point clouds Maosu Li Yijie Wu A. G. Yeh Fan Xue 3DV 3DPC 12 3 0 16 Jul 2023
Joint 2D-3D-Semantic Data for Indoor Scene Understanding Iro Armeni S. Sax Amir Zamir Silvio Savarese 3DV 3DPC 113 864 0 03 Feb 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 219 13,886 0 02 Dec 2016