-
Notifications
You must be signed in to change notification settings - Fork 5
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
Questions about dividing dataset and network architecture #4
Comments
|
I understand that. |
Hi, @soomean Could you tell the file index of Xia's dataset used to each 'generate' and 'classify'? Thanks. |
Hi, @soomean
I appreciate your great work.
I have some questions about datasets and network.
Are there any criteria to divide the datasets 'generate' and 'classify'?
According to your paper, you divided the databases into homogeneous and heterogeneous datasets.
Are the 'generate' datasets equivalent to homogeneous and the 'classify' dataset equivalent to heterogeneous?
Then, do the 'generate' dataset mean Xia's datasets and the 'classify' dataset mean Aberman's datasets?
I am wondering if all of Xia's datasets are used in training or are used in both training and testing.
In the mapping network, the unshared layer is not used.
Isn't there any difference in performance even if I add the unshared layer like Stargan v2?
Thanks for your work again.
The text was updated successfully, but these errors were encountered: