A Review of Panoptic Segmentation for Mobile Mapping Point Clouds

A Review of Panoptic Segmentation for Mobile Mapping Point Clouds

27 April 2023

Konrad Schindler

Papers citing "A Review of Panoptic Segmentation for Mobile Mapping Point Clouds"

7 / 7 papers shown

Title
Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering Damien Robert Hugo Raguet Loic Landrieu 28 12 0 12 Jan 2024
Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning Binbin Xiang Maciej Wielgosz Theodora Kontogianni T. Peters Stefano Puliti R. Astrup Konrad Schindler 27 36 0 22 Dec 2023
Towards accurate instance segmentation in large-scale LiDAR point clouds Binbin Xiang T. Peters Theodora Kontogianni Frawa Vetterli Stefano Puliti R. Astrup Konrad Schindler 3DPC ISeg 20 7 0 06 Jul 2023
Hierarchical Aggregation for 3D Instance Segmentation Shaoyu Chen Jiemin Fang Qian Zhang Wenyu Liu Xinggang Wang 3DPC 56 162 0 05 Aug 2021
OccuSeg: Occupancy-aware 3D Instance Segmentation Lei Han Tian Zheng Lan Xu Lu Fang 3DPC 160 256 0 14 Mar 2020
Multi-view PointNet for 3D Scene Understanding M. Jaritz Jiayuan Gu Hao Su 3DPC 146 160 0 30 Sep 2019
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,103 0 02 Dec 2016