Point Cloud Saliency Detection by Local and Global Feature Fusion-Reference-Cited by-同舟云学术

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Point Cloud Saliency Detection by Local and Global Feature Fusion

Published:2019-11 Issue:11 Volume:28 Page:5379-5393
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Ding Xiaoying^ORCID,Lin Weisi^ORCID,Chen Zhenzhong^ORCID,Zhang Xinfeng^ORCID

Funder

Singapore Ministry of Education Tier-2 Fund

National Natural Science Foundation of China

China Scholarship Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/8809862/08726371.pdf?arnumber=8726371

Cited by 33 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. Attention-Based Deep Neural Network for Point Cloud Learning;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Attention-guided LiDAR segmentation and odometry using image-to-point cloud saliency transfer;Multimedia Systems;2024-06-24

3. Research on Lightweight Method of Segment Beam Point Cloud Based on Edge Detection Optimization;Buildings;2024-04-25

4. Point Transformer-Based Salient Object Detection Network for 3-D Measurement Point Clouds;IEEE Transactions on Geoscience and Remote Sensing;2024

5. Point Cloud Quality Assessment using 3D Saliency Maps;2023 IEEE International Conference on Visual Communications and Image Processing (VCIP);2023-12-04

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