L6DNet: Light 6 DoF Network for Robust and Precise Object Pose Estimation With Small Datasets-Reference-Cited by-同舟云学术

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L6DNet: Light 6 DoF Network for Robust and Precise Object Pose Estimation With Small Datasets

Published:2021-04 Issue:2 Volume:6 Page:2914-2921
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Gonzalez Mathieu^ORCID,Kacete Amine,Murienne Albert,Marchand Eric^ORCID

Funder

National Research Agency

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9285111/09364353.pdf?arnumber=9364353

Cited by 10 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. The use of CNNs in VR/AR/MR/XR: a systematic literature review;Virtual Reality;2024-08-30

2. A Robust CoS-PVNet Pose Estimation Network in Complex Scenarios;Electronics;2024-05-27

3. Research on Model-Free 6D Object Pose Estimation Based on Vision 3D Matching;Proceedings of the 2024 2nd Asia Conference on Computer Vision, Image Processing and Pattern Recognition;2024-04-26

4. TwistSLAM++: Fusing Multiple Modalities for Accurate Dynamic Semantic SLAM;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

5. KVNet: An iterative 3D keypoints voting network for real-time 6-DoF object pose estimation;Neurocomputing;2023-04

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