Less is more: Reducing task and model complexity for 3d point cloud semantic segmentation
Whilst the availability of 3D LiDAR point cloud data has significantly grown in recent years,
annotation remains expensive and time-consuming, leading to a demand for semi …
annotation remains expensive and time-consuming, leading to a demand for semi …
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation
We address the challenges of the semi-supervised LiDAR segmentation (SSLS) problem,
particularly in low-budget scenarios. The two main issues in low-budget SSLS are the poor …
particularly in low-budget scenarios. The two main issues in low-budget SSLS are the poor …
On Deep Learning for Geometric and Semantic Scene Understanding Using On-Vehicle 3D LiDAR
L Li - arXiv preprint arXiv:2411.00600, 2024 - arxiv.org
3D LiDAR point cloud data is crucial for scene perception in computer vision, robotics, and
autonomous driving. Geometric and semantic scene understanding, involving 3D point …
autonomous driving. Geometric and semantic scene understanding, involving 3D point …