mvcnn_pytorch
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code of knowledge distillation in the paper
Thanks for sharing the paper. I am very interested in it and doing relative research.
I notice you mentioned knowledge distillation in the paper and it was used to improve the voxel-based 3D CNN and point-based architectures. I think this observation is exciting and I want to try it for my ideas. I have reproduced the classification experiments using your codebase.
But in this repo, the code of knowledge distillation is absent. I understand that many years have passed since you conducted the experiments. Can you try to find this part of code, or provide me some references/github repositories/advice to faciliatate my re-implentations?
It would be appreciated.