Are mean and sigma in CenterPrior learnable?

[Yuanyang-Zhu]

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]

Yes. They are not learned.