Mftr-net: a multi-level features network with targeted regularization for large-scale point cloud classification

HIGHLIGHTS

  • who: Ruyu Liu and collaborators from the School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China have published the article: MFTR-Net: A Multi-Level Features Network with Targeted Regularization for Large-Scale Point Cloud Classification, in the Journal: Sensors 2023, 23, 3869. of /2023/
  • what: The aim of a large-scale point cloud classification task is to classify the point cloud data scanned by the radar sensors, and label different objects in the point cloud, such as buildings, roads, vehicles, pedestrians, and vegetation . Based on but different from the previous work , the . . .

     

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