A multi-granularity semisupervised active learning for point cloud semantic segmentation

Shanding Ye; Zhe Yin; Yongjian Fu; Hu Lin; Zhijie Pan

doi:10.1007/s00521-023-08455-7

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A multi-granularity semisupervised active learning for point cloud semantic segmentation

Shanding Ye Zhe Yin Yongjian Fu Hu Lin Zhijie Pan

Year: 2023 Journal: Neural Computing and Applications Vol: 35 (21)Pages: 15629-15645 Publisher: Springer Science+Business Media

DOI: 10.1007/s00521-023-08455-7

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Keywords:

Computer science Point cloud Segmentation Leverage (statistics) Artificial intelligence Annotation Cloud computing Granularity Pipeline (software) Machine learning Hash function Active learning (machine learning) Data mining

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3D Shape Modeling and Analysis

Physical Sciences → Engineering → Computational Mechanics

Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

Image and Object Detection Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

A multi-granularity semisupervised active learning for point cloud semantic segmentation

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