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cviviers / YOLOv5-6D-Pose

6-DoF Pose estimation based on the YOLOv5 framework. Specific focus on instruments in X-ray applications
https://ieeexplore.ieee.org/document/10478293
GNU General Public License v3.0
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This is an existing study #2

Closed gu-qsw closed 5 months ago

gu-qsw commented 5 months ago

Published on the 2021 IEEE as mfpn-6dimage

cviviers commented 5 months ago

Hi @gu-qsw,

Thanks for pointing to this work. Do you know if there is code available? Also if the paper is publicly accessible? I would appreciate it if you can send me the work at c.g.a.viviers@tue.nl

From the snippet here I can see our research takes a different direction to this paper. We focus on variable acquisition geometry and a specific application in X-ray images and medical instrument 6-DoF pose estimation.

I think the community will appreciate this line of research being publicly available.

gu-qsw commented 5 months ago

@cviviers

Please check the mail

cviviers commented 5 months ago

Thanks again for pointing out this work. As we discussed, there are some significant differences between the mentioned work and our proposed approach, including the model objective, its application and finally overall improved performance.

Please keep an eye out on the full paper and code to be released soon :)