Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Feature map loss #20

Open
John1231983 opened this issue Sep 19, 2019 · 2 comments
Open

Feature map loss #20

John1231983 opened this issue Sep 19, 2019 · 2 comments

Comments

@John1231983
Copy link

Hi. Because the data is unpaired. So, Is the feature map correct, eq. (1)?

Feature Matching Loss. To increase the stability of the model, our objective
function uses a feature matching loss

The eq. 1 take MSE for the feature in D network. However, the data is unpaired, so the real feature from A and fake feature from A also unpaired. Is it correct using direct MSE to compute the feature map between real A and fake A features?

@gdwei
Copy link

gdwei commented Aug 26, 2020

same question.

@Skylion007
Copy link
Contributor

Yep. It's unpaired, but still a reasonable perceptual loss.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants