longcw/faster_rcnn_pytorch

why loss_box is multiplied with 10 to calculate the final loss?

zchrissirhcz opened this issue · 0 comments

In both RPN subnetwork and RCNN subnetwork, the loss in your repo, is both defined as:

@property
def loss(self):
    return self.cross_entropy + self.loss_box * 10

This is different from the original paper's formula. Why x10 on bbox loss, instead of just adding cross entropy loss and bbox loss?