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How to improve the mask obtained by domain adaptation on bitmoji dataset #13

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Riqzz opened this issue Aug 8, 2022 · 3 comments
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@Riqzz
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Riqzz commented Aug 8, 2022

I made fine-tuning on the Bitmoji dataset according to the Domain Adaptation section, and the segmentation mask obtained is still far from the truth. Could you please advise how to get results like the pre-trained model BitMoji-512x512.pt?

@seasonSH
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seasonSH commented Aug 9, 2022

Have you tried to remove the --freeze_local flag for fine-tuning on BitMoji?

@Riqzz
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Riqzz commented Aug 11, 2022

Yes. I found that this flag has a large impact on the quality of the generated image and the number of fine-tuning steps. Keeping it the model can get a very good mask. And if it is removed, the image can be generated very well, but the mask is much worse.

@seasonSH
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Yes. You have to limit the number of fine-tuning steps if you remove this flag.

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