dingdingcai / sc6d-pose Goto Github PK
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License: MIT License
First of all, really nice work and the results are so impressive! I am trying to reproduce the metric on TLESS dataset but I have trouble obtaining the same score as reported in the paper via fine-tuning with real images. I was starting with a learning rate of 1e-4 and gradually annealing it towards 1e-5 after 30 epochs. I also did oversampling of real images to ensure a 50/50 percentage of real / synthetic examples. Any important details that I was missing here? Thanks!
Hi dingdingcai,
I've read your paper. It's such an amazing job!
In your job, you replace regressing tz with classfiying tz. Could you tell me how you determine the nearest(or farthest) Tz, to which you set a value here. Many thanks.
Best,
Leroy
Hey, it's an interesting work!
I notice that you have not implemented position encoding for SO3 rotation input, while it has been done in Implicit-PDF. I am wondering if there are any concerns with implementing position encoding.
Thanks!
Hi! Many thanks for the cool repo and paper. I'm training the network on a custom dataset, but pXY is not dropping, and therefore the results are not satisfactory. While you were training your networks, did you face such an issue? Do you have any recommendations to improve this? Many thanks in advance!
Thanks for sharing this great code repo! We found your work interesting and inspiring and we would like to follow up. However, it seems that there's no license associated with it which makes it difficult for us to include any code snippets from you. According to GitHub's help page:
You're under no obligation to choose a license. However, without a license, the default copyright laws apply, meaning that you retain all rights to your source code and no one may reproduce, distribute, or create derivative works from your work. If you're creating an open source project, we strongly encourage you to include an open source license. The Open Source Guide provides additional guidance on choosing the correct license for your project.
Could you please add an appropriate license if possible? We will give acknowledgements and citations. FYI, this instruction may be helpful: https://docs.github.com/en/communities/setting-up-your-project-for-healthy-contributions/adding-a-license-to-a-repository. A less restrictive license like Apache-2.0 or MIT would be preferred and appreciated by us. Thanks!
What is the parameter setting for fine-tuning? In particular, what learning rate did you use?
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