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Add RadImageNet option to Perceptual loss #26

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Warvito opened this issue Oct 23, 2022 · 1 comment · Fixed by #153
Closed

Add RadImageNet option to Perceptual loss #26

Warvito opened this issue Oct 23, 2022 · 1 comment · Fixed by #153
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@Warvito
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Warvito commented Oct 23, 2022

Add the option to select between LPIPS based implementation of the perceptual loss (based on model pretrained on ImageNet) or the RadImageNet option (based on a network pretrained no the RadImageNet dataset) (https://github.com/BMEII-AI/RadImageNet).

The use of this network in a similar approach was already implemented for a FID metric in https://github.com/RichardObi/medigan which might be interesting to use too.

@Warvito Warvito changed the title Add RadImageNet option to Perceptual loss/metric Add RadImageNet option to Perceptual loss Oct 23, 2022
@Warvito
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Warvito commented Dec 21, 2022

For now, I created this repo to access the pytorch models from radimagenet, but I am talking with Zelong and @xmei123 to possibly have some official repo and weights to share the pytorch models.

@Warvito Warvito self-assigned this Dec 21, 2022
@Warvito Warvito linked a pull request Dec 21, 2022 that will close this issue
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