DenseKPNET: Dense Kernel Point Convolutional Neural Networks for Point Cloud Semantic Segmentation-Reference-Cited by-同舟云学术

DenseKPNET: Dense Kernel Point Convolutional Neural Networks for Point Cloud Semantic Segmentation

Published:2022 Issue: Volume:60 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Li Yong¹^ORCID,Li Xu¹^ORCID,Zhang Zhenxin²^ORCID,Shuang Feng¹^ORCID,Lin Qi¹^ORCID,Jiang Jincheng³

Affiliation:

1. Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment, School of Electrical Engineering, Guangxi University, Nanning, China

2. Key Laboratory of 3D Information Acquisition and Application and the College of Resource Environment and Tourism, Capital Normal University, Beijing, China

3. Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China

Funder

National Natural Science Foundation of China

Open Research Fund of the Artificial Intelligence Key Laboratory of Sichuan Province

Research Basic Ability Improvement Project of Young and Middle-Aged Teachers in Guangxi Universities

Natural Science Foundation of Guangdong

Beijing Municipal Commission of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09755182.pdf?arnumber=9755182

Reference53 articles.

1. CBAM: Convolutional block attention module;woo;Proc Eur Conf Comput Vis (ECCV),2018

2. BAM: Bottleneck attention module;park;arXiv 1807 06514,2018

3. KPConv: Flexible and Deformable Convolution for Point Clouds

4. PointConv: Deep Convolutional Networks on 3D Point Clouds

5. ConvPoint: Continuous convolutions for point cloud processing

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ALS Point Cloud Semantic Segmentation Based on Graph Convolution and Transformer With Elevation Attention;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

2. PointNAC: Copula-Based Point Cloud Semantic Segmentation Network;Symmetry;2023-11-06

3. Weakly Supervised Learning for Point Cloud Semantic Segmentation With Dual Teacher;IEEE Robotics and Automation Letters;2023-10

4. LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers;IEEE Transactions on Circuits and Systems for Video Technology;2023-09

5. DCNet: Large-Scale Point Cloud Semantic Segmentation With Discriminative and Efficient Feature Aggregation;IEEE Transactions on Circuits and Systems for Video Technology;2023-08