Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation-Reference-Cited by-同舟云学术

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Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation

Published:2021 Issue: Volume: Page:1-1
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Wang Gu,Manhardt Fabian,Liu Xingyu,Ji Xiangyang,Tombari Federico

Funder

China Scholarship Council

National Key RD Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/4359286/09655492.pdf?arnumber=9655492

Cited by 19 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. RNNPose: 6-DoF Object Pose Estimation via Recurrent Correspondence Field Estimation and Pose Optimization;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-07

2. Joint-Loss Enhanced Self-Supervised Learning for Refinement-Coupled Object 6D Pose Estimation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Editorial: Learning With Fewer Labels in Computer Vision;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-03

4. A Survey of 6DoF Object Pose Estimation Methods for Different Application Scenarios;Sensors;2024-02-07

5. Effects of Markers in Training Datasets on the Accuracy of 6D Pose Estimation;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

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