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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| Vydané v: | Remote sensing (Basel, Switzerland) Ročník 13; číslo 16; s. 3121 |
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| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Basel
MDPI AG
06.08.2021
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| Predmet: | |
| ISSN: | 2072-4292, 2072-4292 |
| On-line prístup: | Získať plný text |
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