2023
DOI: 10.1049/cvi2.12250
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A survey on weakly supervised 3D point cloud semantic segmentation

Jingyi Wang,
Yu Liu,
Hanlin Tan
et al.

Abstract: With the popularity and advancement of 3D point cloud data acquisition technologies and sensors, research into 3D point clouds has made considerable strides based on deep learning. The semantic segmentation of point clouds, a crucial step in comprehending 3D scenes, has drawn much attention. The accuracy and effectiveness of fully supervised semantic segmentation tasks have greatly improved with the increase in the number of accessible datasets. However, these achievements rely on time‐consuming and expensive … Show more

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