Project-MONAI / Project-MONAI/tutorials
Blurry Results After Training and Poor Performance After Fine-Tuning on BTCV Dataset
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- Jupyter Notebook
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Description
Hello,
I am currently trying to train and fine-tune your model. I am training the diffusion model using only the BTCV dataset. However, even after training for 20,000 iterations, the generated results are still quite blurry.
I also tried fine-tuning your pretrained diffusion model weights on the BTCV dataset, but after fine-tuning, the generation quality seems to degrade significantly and the results are not very good.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the diffusion-model training and pretrained-weight fine-tuning runs described for the BTCV dataset, recording the configuration and results at 20,000 iterations. Compare generated outputs before and after fine-tuning, then identify whether the degradation is reproducible and document the setup and expected quality.
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Assessment
- Tech stack
- jupyter-notebook, pytorch
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100