Fast Uncertainty Quantification for Deep Object Pose Estimation-Reference-Cited by-同舟云学术

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Fast Uncertainty Quantification for Deep Object Pose Estimation

Published:2021-05-30 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Shi Guanya,Zhu Yifeng,Tremblay Jonathan,Birchfield Stan,Ramos Fabio,Anandkumar Animashree,Zhu Yuke

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9560720/9560666/09561483.pdf?arnumber=9561483

Cited by 12 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. Review of machine learning in robotic grasping control in space application;Acta Astronautica;2024-07

2. Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation;ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2024-06-10

3. Context-aware Multi-Model Object Detection for Diversely Heterogeneous Compute Systems;2024 Design, Automation & Test in Europe Conference & Exhibition (DATE);2024-03-25

4. DTF-Net: Category-Level Pose Estimation and Shape Reconstruction via Deformable Template Field;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

5. SpyroPose: SE(3) Pyramids for Object Pose Distribution Estimation;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02

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