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Hi, yifan,
I tried to train the model on my own dataset, but I found the value of center_loss_cls is too big(from 100 to 300) when training.
I want to know why and how to solve that problem.
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Congratuations! You have done a great work. But I have a question about the center loss.
Can you explain why you wrote there two lines?
https://github.com/KaiyangZhou/pytorch-center-loss/blob/082ffa…
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Thank you for sharing your work and providing both the paper and code. While reviewing the implementation, I noticed a potential mismatch between the theoretical formulation and the code of optimal g…
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### I understand that this issue may be closed if it should be filed in another category
- [X] I understand
### My issue
For instance, I have this zip file:
`Map049 - Skill Center (Blython,…
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Hello, I am very interested in this research project and I believe what you demonstrated in the paper is novel. However, I am not sure is this the same in your original caffe's code or not but in your…
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I have read your paper about FastMLDNN. This is really excellent work. When I looked up your code, it seemed that I couldn't find the code of the class center distance expansion loss. Perhaps I missed…
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In your paper, you mentioned that when calculating Paco-loss for sample xi, the learnable centers cj,j=1...m, **are also** **included** as positive/negative samples, besides, the centers seen as posit…
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### Is there an existing issue for this?
- [x] I have searched the existing issues
### Version
equal or higher than v1.16.3 and lower than v1.17.0
### What happened?
I have a 3 node k3s bare meta…
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Hi there!
Could you please provide instructions on how to reproduce the training with auto-encoder?
As I try to run the code with,
```
python3 big_sweep_experiments.py
```
---
It first …
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Hi,
First of all, I really appreciate the incredible work you've done on TartanVO. It's a fantastic contribution to the field.
I've been working on replicating the training code for TartanVO, and …