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@@ -35,8 +35,7 @@ Our approach leverages *CLIP* as a prior for perceptual tasks, inspired by cogni
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  ## Performance
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  The model was trained on the *LaMem dataset* and exhibits *state-of-the-art generalization* to the *THINGS memorability dataset*.
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- For more models and results on the *five common splits* of LaMem, please refer to our paper.
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  ## Usage
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  To use the model for inference:
 
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  ## Performance
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  The model was trained on the *LaMem dataset* and exhibits *state-of-the-art generalization* to the *THINGS memorability dataset*.
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+ For more models and results on the five common splits of LaMem, please refer to our paper. *We achieve state-of-the-art (SOTA) performance on the LaMem dataset based on both Spearman correlation and MSE metrics*.
 
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  ## Usage
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  To use the model for inference: