Semantic Segmentation of 3D Point Cloud Based on Spatial Eight-Quadrant Kernel Convolution
In order to deal with the problem that some existing semantic segmentation networks for 3D point clouds generally have poor performance on small objects, a Spatial Eight-Quadrant Kernel Convolution (SEQKC) algorithm is proposed to enhance the ability of the network for extracting fine-grained featur...
| Hlavní autoři: | , , , , , |
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| Médium: | Článek |
| Jazyk: | English |
| Vydáno: |
MDPI AG
2021-08-01
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| Edice: | Remote Sensing |
| Témata: | |
| On-line přístup: | https://www.mdpi.com/2072-4292/13/16/3140 |