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

Upconvolution layer at the end of Dilated10 ? #18

Closed
paulineluc opened this issue Oct 10, 2016 · 2 comments
Closed

Upconvolution layer at the end of Dilated10 ? #18

paulineluc opened this issue Oct 10, 2016 · 2 comments

Comments

@paulineluc
Copy link

Hi there,

First of all, great work ! :)

I noticed there is an upconvolution layer at the end of Dilated10, (see here).

Correct me if I'm wrong but I don't remember seeing this mentioned in the paper. Is this the model which led to the results presented in the paper ? Or perhaps it is a new one ? If so, could you kindly advise on whether you kept the same training procedure ?
Thanks ! Cheers,

Pauline

@fyu
Copy link
Owner

fyu commented Oct 11, 2016

yes, I added an upconv in training cityscapes models because the high resolution of cityscapes data, which is the one presented in the paper. It follows the same training procedure described in the paper.

@paulineluc
Copy link
Author

Ok thanks !

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

2 participants