Learning semantic segmentation of large-scale point clouds with random sampling
We study the problem of efficient semantic segmentation for large-scale 3D point clouds. By relying on expensive sampling techniques or computationally heavy pre/post-processing steps, most existing approaches are only able to be trained and operate over small-scale point clouds. In this paper, we i...
मुख्य लेखकों: | , , , , , , , |
---|---|
स्वरूप: | Journal article |
भाषा: | English |
प्रकाशित: |
IEEE
2021
|