Self-supervised learning for pre-training 3D point clouds: A survey
Point cloud data have been extensively studied due to their compact form and flexibility in representing complex 3D geometries and structures. The ability of point cloud data to accurately capture and represent intricate 3D geometry makes it an ideal choice for a wide range of applications, includin...
Furkejuvvon:
| Váldodahkkit: | , , , , , , , |
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| Materiálatiipa: | Artigo |
| Giella: | Inglês |
| Almmustuhtton: |
Tsinghua University Press
2026-06-01
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| Ráidu: | Computational Visual Media |
| Fáttát: | |
| Liŋkkat: | https://www.sciopen.com/article/10.26599/CVM.2025.9450514 |
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