Semantic Segmentation of Large-Scale Outdoor Point Clouds by Encoder–Decoder Shared MLPs with Multiple Losses
Semantic segmentation of large-scale outdoor 3D LiDAR point clouds becomes essential to understand the scene environment in various applications, such as geometry mapping, autonomous driving, and more. With an advantage of being a 3D metric space, 3D LiDAR point clouds, on the other hand, pose a cha...
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| Published in: | Remote sensing (Basel, Switzerland) Vol. 13; no. 16; p. 3121 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Basel
MDPI AG
06.08.2021
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| Subjects: | |
| ISSN: | 2072-4292, 2072-4292 |
| Online Access: | Get full text |
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