Symmetry-Aware 6D Object Pose Estimation via Multitask Learning
Although 6D object pose estimation has been intensively explored in the past decades, the performance is still not fully satisfactory, especially when it comes to symmetric objects. In this paper, we study the problem of 6D object pose estimation by leveraging the information of object symmetry. To...
Saved in:
Main Authors: | Hongjia Zhang, Junwen Huang, Xin Xu, Qiang Fang, Yifei Shi |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/8820500 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A 6D Object Pose Estimation Algorithm for Autonomous Docking with Improved Maximal Cliques
by: Zhenqi Han, et al.
Published: (2025-01-01) -
Single-step retrosynthesis prediction via multitask graph representation learning
by: Peng-Cheng Zhao, et al.
Published: (2025-01-01) -
Multitask Learning for Estimation of Magnetic Parameters Using Pattern Recognition
by: Anubha Sehgal, et al.
Published: (2024-01-01) -
A fast monocular 6D pose estimation method for textureless objects based on perceptual hashing and template matching
by: Jose Moises Araya-Martinez, et al.
Published: (2025-01-01) -
Pose Estimation of Uncooperative Unknown Space Objects from a Single Image
by: Xiaoyuan Ren, et al.
Published: (2020-01-01)