Reaper: Articulated Object 6d Pose Estimation with Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Reaper: Articulated Object 6d Pose Estimation with Deep Reinforcement Learning

Published:2023-10-08 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Image Processing (ICIP)
language:
Short-container-title:

Author:

Liu Liu¹,Wu Qi²,Xue Zhendong²,Qian Sucheng²,Li Rui³

Affiliation:

1. Hefei University of Technology,Hefei,China,230601

2. Shanghai Jiao Tong University,Department of Computer Science,Shanghai,China

3. Chinese Academy of Sciences,Institute of Intelligent Machines, and Hefei Institute of Physical Science,Hefei,China,230031

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10221937/10221892/10223108.pdf?arnumber=10223108

Reference19 articles.

1. AKB-48: A Real-World Articulated Object Knowledge Base

2. Toward Real-World Category-Level Articulation Pose Estimation

3. Reinforcedet: Object Detection By Integrating Reinforcement Learning With Decoupled Pipeline

4. Omad: Object model with articulated deformations for pose estimation and retrieval;xue,2021

5. Nothing but geometric constraints: A model-free method for articulated object pose estimation;liu,2020

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