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

Are mean and sigma in CenterPrior learnable? #39

Open
Yuanyang-Zhu opened this issue Jul 3, 2023 · 1 comment
Open

Are mean and sigma in CenterPrior learnable? #39

Yuanyang-Zhu opened this issue Jul 3, 2023 · 1 comment

Comments

@Yuanyang-Zhu
Copy link

In the class CenterPrior, there are definitions as follows:

       self.mean = nn.Parameter(torch.zeros(num_classes, 2), requires_grad=False)
       self.sigma = nn.Parameter(torch.ones(num_classes, 2)+0.11, requires_grad=False)

So in DW, these two parameters do not need to be learned? Is it different from autoassign?

@strongwolf
Copy link
Owner

Yes. They are not learned.

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