We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
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
Thank you share your codes.
Can you tell me which lua file used for training the dataset.
The text was updated successfully, but these errors were encountered:
I did not include that to train the content network. But it is similar to the Context Encoders. You can use their code to train on ImageNet. (https://people.eecs.berkeley.edu/~pathak/context_encoder/)
Sorry, something went wrong.
@leehomyc The joint loss function of your paper is differ from that of context_encoder. Can I directly use the train code(https://people.eecs.berkeley.edu/~pathak/context_encoder/)?
Or should I modify the training lua code in the section of joint loss function? Thanks.
No, you don't need to. The model for the content constraint is trained on ImageNet using Context Encoders.
No branches or pull requests
Thank you share your codes.
Can you tell me which lua file used for training the dataset.
The text was updated successfully, but these errors were encountered: