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Pretrained model results #39

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davidserra9 opened this issue Sep 8, 2023 · 0 comments
Open

Pretrained model results #39

davidserra9 opened this issue Sep 8, 2023 · 0 comments

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@davidserra9
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Hello @sjmoran,
Thanks for your great work!

I wanted to bring up an issue regarding the pretrained model in the repository. According to Table 6 in the paper, the TED+CURL model achieved a PSNR of 24.04 on the MIT5K DPE dataset. However, the pretrained model available in the repository is named "...testpsnr_23.584083321292365...pt," indicating a PSNR of 23.58. Additionally, when I performed an evaluation on the same dataset, I obtained a slightly different result, with a test PSNR of 23.62.

I'm curious about the significant gap between the pretrained model and the results presented in the paper. Is there a specific reason for this discrepancy, or could there be something I might be doing incorrectly during the evaluation process?

Once again, thank you for your project. Your insights would be greatly appreciated.

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