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Very interesting work, some doubts as shown in the title.
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It also makes me wonder that you said "the ground-truth mask M is resized…
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Hello,
Thank you for your open-sourcing code and interesting paper.
I want to ask about test-time IoU optimization.
In your paper, your 3D IoU module is differentiable and it can optimize the b…
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Hi, thanks for you sharing your work.
I found that all the configs are using end to end training. So how to train without backpropagatable pnp?
I try to throw out the pose_head, which result in wo…
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Hello
How are you?
Thanks for contributing to this project.
I have a question.
Can this be used as boundary loss in the segmentation model training?
Thanks
_Originally posted by @rose-jinyang …
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Hi,
I am translating a pytorch code into R torch but it uses Pytorch functions with CUDA extensions. See cuda_op file in:
[https://github.com/lilanxiao/Rotated_IoU]()
In summary, the code is …
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Hi there, thanks for releasing the code for this awesome project! Quick question regarding the evaluation you used:
when I compare the 3D IoU results in your paper with the ones reported by previou…
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The minimum bounding box method has three types (aligned, pca, and smallest). Is the "smallest" method using the "Rotating Calipers" algorithm? I was looking for a torch implementation of this and if …
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## 🚀 Feature
A simple `torchvision.ops` to convert Segmentation masks to bounding boxes.
## Motivation
This has a few use-cases.
1. This makes it easier to use semantic segmentation datasets…
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@morpheus1820 @Yang7879 @QingyongHu Hi thanks for opensourcing the source code , i have following queries
1. Can you share the pre-trained model for semantic kitti dataset i want to check the outpu…
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Hi, @Tai-Wang and mmdetection3d team,
This issue continues the discussion in https://github.com/saic-vul/imvoxelnet/issues/7. If you are sure, it would be great to have ImVoxelNet in this codebase,…