ACR-Pose: Adversarial Canonical Representation Reconstruction Network for Category Level 6D Object Pose Estimation-Reference-Cited by-同舟云学术

ACR-Pose: Adversarial Canonical Representation Reconstruction Network for Category Level 6D Object Pose Estimation

Published:2024-05-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2024 International Conference on Multimedia Retrieval
language:
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Author:

Fan Zhaoxin¹^ORCID,Song Zhenbo²^ORCID,Wang Zhicheng³^ORCID,Xu Jian⁴^ORCID,Wu Kejian³^ORCID,Liu Hongyan⁵^ORCID,He Jun⁶^ORCID

Affiliation:

1. Renmin University of China & Psyche AI Inc, Beijing, China

2. Nanjing University of Science and Technology, Nanjing, China

3. Xreal, Beijing, China

4. Institute of Automation, Chinese Academy of Sciences, Beijing, China

5. Tsinghua University, Beijing, China

6. Renmin University of China, Beijing, China

Funder

National Natural Science Foundation of China (NSFC)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3652583.3658050

Reference49 articles.

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2. Ronald T Azuma. 1997. A survey of augmented reality. Presence: teleoperators & virtual environments, Vol. 6, 4 (1997), 355--385.

3. Robotic grasping and contact: a review

4. Julie Carmigniani, Borko Furht, Marco Anisetti, Paolo Ceravolo, Ernesto Damiani, and Misa Ivkovic. 2011. Augmented reality technologies, systems and applications. Multimedia tools and applications , Vol. 51, 1 (2011), 341--377.

5. Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation

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