A survey on weakly supervised 3D point cloud semantic segmentation

A new weakly supervised approach for ALS point cloud semantic segmentation

(2022) Puzuo Wang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping

(2021) Jean-Emmanuel Deschaud et al.   Remote Sensing

TUM-MLS-2016: An Annotated Mobile LiDAR Dataset of the TUM City Campus for Semantic Point Cloud Interpretation in Urban Areas

(2020) Jingwei Zhu et al.   Remote Sensing

Deep Learning for 3D Point Clouds: A Survey

(2020) Yulan Guo et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Wider or Deeper: Revisiting the ResNet Model for Visual Recognition

(2019) Zifeng Wu et al.   PATTERN RECOGNITION

A Survey of Mobile Laser Scanning Applications and Key Techniques over Urban Areas

(2019) Wang et al.   Remote Sensing

Paris-Lille-3D: A large and high-quality ground-truth urban point cloud dataset for automatic segmentation and classification

(2018) Xavier Roynard et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

TerraMobilita/iQmulus urban point cloud analysis benchmark

(2015) Bruno Vallet et al.   COMPUTERS & GRAPHICS-UK

‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications

(2012) M.J. Westoby et al.   GEOMORPHOLOGY