In the RPN() function why are the weights initialized like this? Am I missing something from the paper? and why this why not use kalming initilization and all.
I don’t even understand why bias is set as 0.
Can someone help?
for layer in self.children():
            torch.nn.init.normal_(layer.weight, std=0.01)  # type: ignore[arg-type]
            torch.nn.init.constant_(layer.bias, 0)  # type: ignore[arg-type]

The RPN function 1
Am I missing something obvious?