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

semantic consistency loss #47

Open
yklInverted opened this issue Nov 17, 2022 · 0 comments
Open

semantic consistency loss #47

yklInverted opened this issue Nov 17, 2022 · 0 comments

Comments

@yklInverted
Copy link

Hi, I got a bit confused about the implementation of the semantic loss in the CycleGANSemanticModel. In the CyCADA paper, the semantic consistency loss is computed using a pretrained model fs. However, in this code I found that the semantic loss is directly computed using the target model ft. I just wonder why the implementation differs and how will this influence the result.

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

1 participant