A learnable self-supervised task for unsupervised domain adaptation on point cloud classification and segmentation

Shaolei Liu; Xiaoyuan Luo; Kexue Fu; Manning Wang; Zhijian Song

doi:10.1007/s11704-022-2435-4

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A learnable self-supervised task for unsupervised domain adaptation on point cloud classification and segmentation

Shaolei Liu Xiaoyuan Luo Kexue Fu Manning Wang Zhijian Song

Year: 2023 Journal: Frontiers of Computer Science Vol: 17 (6) Publisher: Higher Education Press

DOI: 10.1007/s11704-022-2435-4

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Keywords:

Computer science Point cloud Segmentation Task (project management) Artificial intelligence Encoder Domain (mathematical analysis) Transformation (genetics) Focus (optics) Adaptation (eye) Artificial neural network Point (geometry) Cloud computing Pattern recognition (psychology) Machine learning

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Topics

3D Shape Modeling and Analysis

Physical Sciences → Engineering → Computational Mechanics

3D Surveying and Cultural Heritage

Physical Sciences → Earth and Planetary Sciences → Geology

Optical measurement and interference techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

A learnable self-supervised task for unsupervised domain adaptation on point cloud classification and segmentation

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Citation History

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