COPE: End-to-end trainable Constant Runtime Object Pose Estimation-Reference-Cited by-同舟云学术

COPE: End-to-end trainable Constant Runtime Object Pose Estimation

Published:2023-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
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Author:

Thalhammer Stefan¹,Patten Timothy²,Vincze Markus¹

Affiliation:

1. TU,Automation and Control Institute,Vienna

2. Robotics Institute

Funder

Austrian Science Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10030081/10030084/10030977.pdf?arnumber=10030977

Reference54 articles.

1. Technical Demonstration on Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes

2. Maskr-cnn;he;Proceedings of the IEEE/CVF International Conference on Computer Vision,2017

3. EPOS: Estimating 6D Pose of Objects With Symmetries

4. On pre-trained image features and synthetic images for deep learning;hinterstoisser;Proceedings of the European Conference on Computer Vision Workshops,2018

5. FreeAnchor: Learning to match anchors for visual object detection;zhang;Neural Information Processing Systems,2019

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