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@@ -86,4 +86,17 @@ min_pred = -6.52
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  max_pred = 3.11
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  normalized_score = ((iqa_score - min_pred) / (max_pred - min_pred))
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- print(f"Predicted quality Score: {normalized_score:.4f}")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  max_pred = 3.11
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  normalized_score = ((iqa_score - min_pred) / (max_pred - min_pred))
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+ print(f"Predicted quality Score: {normalized_score:.4f}")
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+ ```
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+
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+ ## Citation
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+
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+ If you use this model in your research, please cite:
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+
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+ ```bibtex
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+ @article{zalcher2025don,
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+ title={Don't Judge Before You CLIP: A Unified Approach for Perceptual Tasks},
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+ author={Zalcher, Amit and Wasserman, Navve and Beliy, Roman and Heinimann, Oliver and Irani, Michal},
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+ journal={arXiv preprint arXiv:2503.13260},
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+ year={2025}
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+ }