Comments (1)
Hi, very interesting question. We find ce loss perform far worse than mse in our case. After checking the results, we find ce loss causes many 'low' values after STAPLE ensemble ( for example, most values range from 0-0.1 in the normalized results). Any idea what is happening here? Maybe there has sth we can delve into. Feel free to contact me by email: [email protected].
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Related Issues (20)
- There are a lot of bugs in the code, can someone give you a working code?
- How to integrate the official version of DPM-Solver into Medsegdiff? HOT 1
- how to deal with StopIteration HOT 1
- three model.pt HOT 1
- Sample result is not a binary mask HOT 1
- pretraining model
- 这个程序的训练模块要运行多少时间? HOT 1
- Why is the effect of using dpm-solver not good?
- DDIT dataloaders / config
- What are these losses calculated separately
- some question about V1 version HOT 2
- Question about the wrong output when trying BraTS20 in MedSegDiff V2 code HOT 2
- Where is the code of SS-former HOT 2
- which .pt should I use to sample? HOT 2
- How long will you use to train the model? HOT 3
- Do you have any trained model weights that you can share? HOT 1
- I want to know which part of the code the image size is in
- help! run the model on my own dataset, visdom show nothing. and have this erro: WARNING:root:Setting up a new session... [W socket.cpp:697] [c10d] The client socket has failed to connect to [DESKTOP-BP72V]:55472 (system error: 10049 - �����������У�������ĵ�ַ��Ч��).
- Meaning of the high_way parameter
- 這個github是MedSegDiff-V2還是v1? HOT 1
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