CNOS: A Strong Baseline for CAD-based Novel Object Segmentation-Reference-Cited by-同舟云学术

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CNOS: A Strong Baseline for CAD-based Novel Object Segmentation

Published:2023-10-02 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
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Author:

Nguyen Van Nguyen¹,Groueix Thibault²,Ponimatkin Georgy¹,Lepetit Vincent¹,Hodan Tomas³

Affiliation:

1. LIGM, École des Ponts

2. Adobe

3. Reality Labs at Meta

Funder

Total

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10350357/10350360/10350984.pdf?arnumber=10350984

Reference28 articles.

1. Learning 6D Object Pose Estimation Using 3D Object Coordinates

2. 3D Model-Based Zero-Shot Pose Estimation Pipeline;Chen,2023

3. Blender-Proc;Denninger,2019

4. Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd

5. Introducing MVTec ITODD — A Dataset for 3D Object Recognition in Industry

Cited by 1 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. ZS6D: Zero-shot 6D Object Pose Estimation using Vision Transformers;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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