Closed lzrrr33 closed 4 years ago
Hi @lzrrr33,
ic_prob
is a classification score for each proposal in the paper. Please see Eq. (5), refinement loss.
thank you for your reply !
but the item in self.mdin_prob
is much lower than in self.ic_prob
. this leads to the cls_loss_weight
of ic0 lower than ic1 and ic2, is it normal?
Hi @lzrrr33, Sorry about the late reply. I actually do not remember the scale of probs but what I remember is the losses from refinement branches are much lower than MIDN branch.
thanks,sorry to bother you
hi bor ,thank you for sharing your code! when i read your code,i have a question: on line 124 of the /OICR-pytorch/lib/model/oicr/oicr.py , according to the paper, "self.ic_prob" should denote the proposal score matrices, but in your code, it seem like denote the classification score matrices. I don’t understand it,hope for your reply