DLA-Net: Learning dual local attention features for semantic segmentation of large-scale building facade point clouds

This publication has 12 references indexed in Scilit:

• AGLNet: Towards real-time semantic segmentation of self-driving images via attention-guided lightweight network
  Applied Soft Computing, 2020
• Point attention network for semantic segmentation of 3D point clouds
  Pattern Recognition, 2020
• Building outline extraction from ALS point clouds using medial axis transform descriptors
  Pattern Recognition, 2020
• Dynamic Graph CNN for Learning on Point Clouds
  ACM Transactions on Graphics, 2019
• Robust procedural model fitting with a new geometric similarity estimator
  Pattern Recognition, 2019
• Paris-Lille-3D: A large and high-quality ground-truth urban point cloud dataset for automatic segmentation and classification
  The International Journal of Robotics Research, 2018
• Patch-Based Semantic Labeling of Road Scene Using Colorized Mobile LiDAR Point Clouds
  IEEE Transactions on Intelligent Transportation Systems, 2015
• Layered analysis of irregular facades via symmetry maximization
  ACM Transactions on Graphics, 2013
• Perception-based shape retrieval for 3D building models
  ISPRS Journal of Photogrammetry and Remote Sensing, 2013
• A Variational Approach to Problems in Calibration of Multiple Cameras
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007