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Deep learning based 3D segmentation: A survey
3D segmentation is a fundamental and challenging problem in computer vision with
applications in autonomous driving and robotics. It has received significant attention from the …
applications in autonomous driving and robotics. It has received significant attention from the …
Deep learning based 3D segmentation in computer vision: A survey
Abstract 3D segmentation is a fundamental and challenging problem in computer vision with
applications in autonomous driving and robotics. It has received significant attention from the …
applications in autonomous driving and robotics. It has received significant attention from the …
An Experimental Study of SOTA LiDAR Segmentation Models
B Chen, A Tikanmäki, J Röning - arxiv preprint arxiv:2502.12860, 2025 - arxiv.org
Point cloud segmentation (PCS) is to classify each point in point clouds. The task enables
robots to parse their 3D surroundings and run autonomously. According to different point …
robots to parse their 3D surroundings and run autonomously. According to different point …
FRPoint: learning spatial correlations in the frequency domain for point cloud classification
Y Jiao - Fourth International Conference on Computer Vision …, 2025 - spiedigitallibrary.org
The use of neural networks for identifying irregular 3D point cloud data is gaining increasing
attention from researchers. Similar to CNN, in order to extract local features of point clouds …
attention from researchers. Similar to CNN, in order to extract local features of point clouds …