Comments (2)
Hi @1193700079,
Thanks for your interest in our work!
We did not release a final regression model as there were too many models (one each for each database) to release.
Also, the cross-database performance (in general) of IQA models is not great, thus limiting usability on other databases directly. The idea is that we provide the code to extract features and the user can use those features to train any regressor that suits their dataset. This is the recommended way to use Re-IQA.
We will try to release a regressor trained on one of the databases soon.
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"Thank you, I understand very well! Thank you very much!"
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Related Issues (12)
- VOC dataset HOT 2
- How to train on a single server with multiple GPUs HOT 2
- Why Linear Regressor? HOT 4
- Is it truly unsupervised or more of pretraining for quality estimation? HOT 4
- could you provide an example of test code with a trained model? HOT 2
- Fix Dependency Name in requirements.txt HOT 3
- Suggestions on the final dataset size for Linear Regressor HOT 2
- How to get the final score?
- Information for training regressors HOT 1
- Different image normalization strategies. HOT 1
- A question about “different-quality” in your passage
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