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Just wanted to put down some feedback we've received while discussing `:focus-ring` with other implementors. We were having these discussions over email but I realized it'd be better if they were here…
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Hi,
I was reading the way temporal filtering is implemented using the cosine model and except I was a bit confused from the fact that is written as a low-pass filter while it is a high-pass filter a…
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The "input-level dropout" has been implemented by the #705 PR. Future work could include the addition of a parameter controlling this dropout.
### Motivation for the feature
- The HeMIS approach…
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No one in the issues can find the code to handle the missing modality. In the proposed scripts, full modality is available in the test data. All the results are not reproducible.
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For modalities like PET, its image information spans across multiple files with a 2D image "slice" present in each file. With SPECT images on the other hand, only one file is given containing the enti…
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E.g. if we have "center-wide" one, and then per-dataset specific (btw -- what would be the logical location to keep it around under?), it would be cool if I could `-c /path/center.cfg -c .validator.cf…
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[This part of readme](https://github.com/neonbjb/tortoise-tts?tab=readme-ov-file#local-installation) is wrong.
Line
```
conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -…
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@UlrikeS91 @lzehl @satra for many people modality => data modality, whereas experimental approach is more nebulous (which we want in this case since approach conflates data modality, technique, paradi…
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Nice Work!!
But I have a doubt that why not to directly modal fusion teacher? There is no weight loading process in huston2013_multi_train.py, so why train single modality baseline ??
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Dear Jianwei,
Thank you for your contribution to medical image segmentation research with this paper. I am trying to reproduce your model and I have a question regarding the train, validation, and t…