Large-scale point cloud semantic segmentation with superpoint graphs. In Proceed- ings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 4558-4567, 2018. 2, 3L. Landrieu and M. Simonovsky. Large-scale point cloud se- mantic segmentation with superpoint graphs. In The ...
我们的结构包括用pointnet进行超点嵌入和用于上下文分割的图卷积。对于后者,我们提出了一种新的,更加有效的条件边卷积以及一种在门循环单元(GRU)中的新的输入门形式; 3、我们在两个可公开获得的数据集(Semantic3D和S3DIS)上取得了目前最好的结果。特别地,我们在简化的Semantic3D测试数据集上的mIoU指标提高了11.9%,...
图3:在Semantic3D和S3DIS数据集中的部分结果,(b)中每种颜色代表一个分割块。 Abstract We propose a novel deep learning-based framework to tackle the challenge of semantic segmentation of largescale point clouds of millions of points. We argue that the organization of 3D point clouds can be efficie...
Learning Semantic Segmentation of Large-Scale Point Clouds With Random Sampling 用随机抽样法学习大规模点云的语义分割 摘要 我们研究了大规模三维点云的有效语义分割问题。由于依赖昂贵的采样技术或计算量大的前/后处理步骤,大多数现有的方法只能在小规模的点云上进行训练和操作。在本文中,我们介绍了RandLA-Net,...
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphshttp://arxiv.org/abs/1711.09869 by Loic Landrieu and Martin Simonovski (CVPR2018), and Point Cloud Oversegmentation with Graph-Structured Deep Metric Learninghttps://arxiv.org/pdf/1904.02113. ...
Label-Efficient Point Cloud Semantic Segmentation: A Holistic Active Learning Approach Deep learning models are the state of the art for semantic segmentation of point clouds, the success of which relies on the availability of large-scale ann... X Shi,L Cai,K Chen,... - 《World Scientific ...
This is the official PyTorch implementation of our paperLarge-scale Point Cloud Semantic Segmentation with Superpoint Graphshttp://arxiv.org/abs/1711.09869. Code structure ./partition/*- Partition code (geometric partitioning and superpoint graph construction) ...
论文《RandLaNet: Efficient Semantic Segmentation of Large-Scale Point Clouds》阅读笔记,程序员大本营,技术文章内容聚合第一站。
SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation Year: 2021 Published in: CVPR TL;DR 本文主要探索了如何高效处理大规模点云分割的问题,主要是通过一种叫做 Spatial Contextual Features(SCF) 的模块学习点云在空间上局部和全局下的上下文信息,具体来说基于极坐标表示部件...
PointNAT: Large Scale Point Cloud Semantic Segmentation via Neighbor Aggregation with Transformer - zeng-ziyin/PointNAT