PoseDiffusion: A Coarse-to-Fine Framework for Unseen Object 6-DoF Pose Estimation-Reference-Cited by-同舟云学术

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PoseDiffusion: A Coarse-to-Fine Framework for Unseen Object 6-DoF Pose Estimation

Published:2024-09 Issue:9 Volume:20 Page:11127-11138
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Zhou Jiaming¹^ORCID,Zhu Qing¹^ORCID,Wang Yaonan¹^ORCID,Feng Mingtao²^ORCID,Wu Chengzhong³^ORCID,Liu Xuebing¹^ORCID,Huang Jianan¹^ORCID,Mian Ajmal⁴^ORCID

Affiliation:

1. College of Electrical and Information Engineering, Hunan University, Changsha, China

2. School of Artificial Intelligence, Xidian University, Xi'an, China

3. Jiangxi Province Communication Terminal Industry Company Ltd., Ji'an, China

4. Department of Computer Science and Software Engineering, the University of Western Australia, Perth, WA, Australia

Funder

Joint Fund Project

Major Special Project of Jiangxi Province

National Natural Science Foundation of China

Graduate Research and Innovation Project of Hunan Province

Australian Research Council Future Fellowship Award

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9424/10666802/10538063.pdf?arnumber=10538063

Reference32 articles.

1. REG-Net: Improving 6DoF Object Pose Estimation With 2D Keypoint Long-Short-Range-Aware Registration

2. Geometry-Supervised Pose Network for Accurate Retail Shelf Pose Estimation

3. Exploring Hierarchical Spatial Layout Cues for 3D Point Cloud based Scene Graph Prediction

4. PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

5. HFF6D: Hierarchical Feature Fusion Network for Robust 6D Object Pose Tracking

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