-
Notifications
You must be signed in to change notification settings - Fork 84
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
About the dimension of feature embedding #64
Comments
Hello, I have the same question, the deeplab projection head does not have an upsampling operation, and only the labels are dimensionally matched when the comparison loss is calculated, but the prediction graph is not? |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Hello, I would like to ask about the feature embedding from the backbone.
Why not keep the same dimension as label through upsample.
The text was updated successfully, but these errors were encountered: