semantic scene segmentationPoint cloud semantic segmentation, a crucial research area in the 3D computer vision, lies at the core of many vision and robotics applications. Due to the irregular and disordered of the point cloud, however, the application of convolution on point clouds is challenging....
Semantic Segmentation on Benchmarks 在本节中,作者评估了RandLA-Net在三个大型公共数据集上的语义分割:室外Semantic3D和SemanticKITTI,以及室内S3DIS。 1)Evaluation on Semantic3D Semantic3D数据集包含15个用于训练的点云和15个用于测试的点云,每个点云有108个点,在真实的3D空间中覆盖160 x 240 x 30立方米。原...
To overcome this problem, point cloud networks particularly specialized for the purpose have been implemented since 2017 but finding the most appropriate way to semantically segment point clouds is still an open research question. In this study we attempted semantic segmentation of point cloud data ...
[CVPR2020] RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds论文浅析 大佬的TensorFlow代码:here 另一个大佬的Pytorch代码:here 注:Pytorch代码只有semanticKITTI的训练,TensorFlow作者本人的代码比较全。 keywords 高分辨率点云——约105 点云语义分割 多层次特征 在正式开始讲论文之前,我们先看...
Recently, point-based networks have begun to prevail because they retain more original geometric information from point clouds than other deep learning-based methods. However, we observe that: (1) the set abstraction design for local aggregation in point-based networks neglects that the points in ...
【点云语义分割】Multi-Path Region Mining ForWeakly Supervised 3D Semantic Segmentation on Point Clouds(CVPR),程序员大本营,技术文章内容聚合第一站。
Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning 通过空间结构多样性推理进行点云语义分割的主动学习 摘要 众所周知,昂贵的注释成本是点云语义分割技术发展的一个主要制约因素。在本文中,我们提出了一种新的基于主动学习的方法来解决这个问题。我们的方法被称为SSDR-AL...
Point attention network for semantic segmentation of 3D point clouds Mingtao Fenga, Liang Zhangb, Xuefei Linc, Syed Zulqarnain Gilanid and AjmalMiand* 年份:2020 期刊:Pattern Recognition IF:7.196 1、创新 1)通过attention机制实现LAE-Convs 学习丰富的局部信息 ...
Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloudarxiv.org/abs/2103.10339 1. Motivation 这篇文章深入研究点云语义分割中比较难区分的点,这些点会影响最终的分割结果,称为:indistinguishable points,并提出了一种新的点云网络架构:Indistinguishable Area Focalization Network (IAF-Net...
论文笔记-PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point Cloud,程序员大本营,技术文章内容聚合第一站。