Coupled Iterative Refinement for 6D Multi-Object Pose Estimation-Reference-Cited by-同舟云学术

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Coupled Iterative Refinement for 6D Multi-Object Pose Estimation

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Lipson Lahav¹,Teed Zachary¹,Goyal Ankit¹,Deng Jia¹

Affiliation:

1. Princeton University

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09879531.pdf?arnumber=9879531

Reference38 articles.

1. On the Continuity of Rotation Representations in Neural Networks

2. Real-Time Seamless Single Shot 6D Object Pose Prediction

3. RAFT-3D: Scene Flow using Rigid-Motion Embeddings

4. RAFT: Recurrent All-Pairs Field Transforms for Optical Flow

5. Accelerating 3d deep learning with pytorch3d;ravi;ArXiv Preprint,2020

Cited by 28 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. A multi-feature fusion-based pose tracking method for industrial object with visual ambiguities;Advanced Engineering Informatics;2024-10

2. EdgePose: An Edge Attention Network for 6D Pose Estimation;Mathematics;2024-08-23

3. Category-Level Object Pose Estimation with Statistic Attention;Sensors;2024-08-19

4. Test-time adaptation for 6D pose tracking;Pattern Recognition;2024-08

5. 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

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