Robust 6D Object Pose Estimation in Cluttered Scenes Using Semantic Segmentation and Pose Regression Networks-Reference-Cited by-同舟云学术

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Robust 6D Object Pose Estimation in Cluttered Scenes Using Semantic Segmentation and Pose Regression Networks

Published:2018-10 Issue: Volume: Page:
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Container-title:2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Periyasamy Arul Selvam,Schwarz Max,Behnke Sven

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8574473/8593358/08594406.pdf?arnumber=8594406

Cited by 16 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. MOTPose: Multi-object 6D Pose Estimation for Dynamic Video Sequences using Attention-based Temporal Fusion;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Vision-based food handling system for high-resemblance random food items;Robotica;2024-02-21

3. Contact-based pose detection method for small components to optimise the digital twin-driven robotic assembly process;MATEC Web of Conferences;2024

4. YOLOPose V2: Understanding and improving transformer-based 6D pose estimation;Robotics and Autonomous Systems;2023-10

5. YOLOPose: Transformer-Based Multi-object 6D Pose Estimation Using Keypoint Regression;Intelligent Autonomous Systems 17;2023

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