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I try to reproduce your result through finetuning ldm of StageB by myself. I directly use your code and fmri_encoder checkpoint without any modifications.
When I compare the performance between the model you provide (finetune.pth) and the model finetuned by myself, there is a gap in both the generated image results and the numerical metrics. For example, the "summary/top-1-class(max)" of your checkpoint is 0.226 while my checkpoint is only 0.1916.
I wonder if you could kindly provide any insights on what may have caused this discrepancy.
Thanks for your time!
The text was updated successfully, but these errors were encountered:
Hi, thanks for the cool paper.
I try to reproduce your result through finetuning ldm of StageB by myself. I directly use your code and fmri_encoder checkpoint without any modifications.
When I compare the performance between the model you provide (finetune.pth) and the model finetuned by myself, there is a gap in both the generated image results and the numerical metrics. For example, the "summary/top-1-class(max)" of your checkpoint is 0.226 while my checkpoint is only 0.1916.
I wonder if you could kindly provide any insights on what may have caused this discrepancy.
Thanks for your time!
The text was updated successfully, but these errors were encountered: