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Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation
Author(s) -
Aoran Xiao,
Jiaxing Huang,
Dayan Guan,
Fangneng Zhan,
Shijian Lu
Publication year - 2022
Publication title -
proceedings of the ... aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v36i3.20183
Subject(s) - point cloud , computer science , segmentation , transfer of learning , lidar , synthetic data , artificial intelligence , point (geometry) , adaptation (eye) , domain (mathematical analysis) , component (thermodynamics) , annotation , translation (biology) , scale (ratio) , domain adaptation , data mining , pattern recognition (psychology) , remote sensing , geometry , mathematics , mathematical analysis , biochemistry , chemistry , physics , quantum mechanics , messenger rna , gene , classifier (uml) , optics , thermodynamics , geology

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