Category-Level Articulated Object 9D Pose Estimation via Reinforcement Learning-Reference-Cited by-同舟云学术

Category-Level Articulated Object 9D Pose Estimation via Reinforcement Learning

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
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Author:

Liu Liu¹^ORCID,Du Jianming²^ORCID,Wu Hao³^ORCID,Yang Xun⁴^ORCID,Liu Zhenguang⁵^ORCID,Hong Richang¹^ORCID,Wang Meng¹^ORCID

Affiliation:

1. Hefei University of Technology, Hefei, China

2. Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China

3. Institute of Dataspace, Hefei, China

4. University of Science and Technology of China, Hefei, China

5. Zhejiang University, Hangzhou, China

Funder

National Natural Science Foundation of China

the Major Project of Anhui Province

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3611852

Reference38 articles.

1. ReAgent: Point Cloud Registration using Imitation and Reinforcement Learning

2. SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement

3. Learning 6D Object Pose Estimation Using 3D Object Coordinates

4. Benjamin Busam , Hyun Jun Jung, and Nassir Navab . 2020 . I like to move it: 6d pose estimation as an action decision process. arXiv preprint arXiv:2009.12678 (2020). Benjamin Busam, Hyun Jun Jung, and Nassir Navab. 2020. I like to move it: 6d pose estimation as an action decision process. arXiv preprint arXiv:2009.12678 (2020).

5. Zhe Cao , Yaser Sheikh , and Natasha Kholgade Banerjee . 2016 . Real-time scalable 6DOF pose estimation for textureless objects . In 2016 IEEE International conference on Robotics and Automation (ICRA). IEEE, 2441--2448 . Zhe Cao, Yaser Sheikh, and Natasha Kholgade Banerjee. 2016. Real-time scalable 6DOF pose estimation for textureless objects. In 2016 IEEE International conference on Robotics and Automation (ICRA). IEEE, 2441--2448.