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HRHD-HK: A benchmark dataset of high-rise and high-density urban scenes
  for 3D semantic segmentation of photogrammetric point clouds

HRHD-HK: A benchmark dataset of high-rise and high-density urban scenes for 3D semantic segmentation of photogrammetric point clouds

16 July 2023
Maosu Li
Yijie Wu
A. G. Yeh
Fan Xue
    3DV
    3DPC
ArXivPDFHTML

Papers citing "HRHD-HK: A benchmark dataset of high-rise and high-density urban scenes for 3D semantic segmentation of photogrammetric point clouds"

3 / 3 papers shown
Title
OpenTrench3D: A Photogrammetric 3D Point Cloud Dataset for Semantic
  Segmentation of Underground Utilities
OpenTrench3D: A Photogrammetric 3D Point Cloud Dataset for Semantic Segmentation of Underground Utilities
Lasse H. Hansen
S. B. Jensen
M. P. Philipsen
Andreas Møgelmose
Lars Bodum
T. Moeslund
3DPC
26
2
0
11 Apr 2024
Efficient Urban-scale Point Clouds Segmentation with BEV Projection
Efficient Urban-scale Point Clouds Segmentation with BEV Projection
Zhenhong Zou
Yizhe Li
3DPC
29
8
0
19 Sep 2021
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
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
1