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@@ -79,4 +79,17 @@ image = Mem_preprocess()(image).unsqueeze(0).to(device)
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with torch.no_grad():
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mem_score = model(image).item()
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print(f"Predicted Memorability Score: {mem_score:.4f}")
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with torch.no_grad():
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mem_score = model(image).item()
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print(f"Predicted Memorability Score: {mem_score:.4f}")
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```
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## Citation
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If you use this model in your research, please cite:
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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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}
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