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Thanks for your code in the paper
M = num_pos.data.sum().float() + num_neg.data.sum().float() loss_c /= N
also in the paper L =\lambda * L_{cls} + L_{reg} in the code
L =\lambda * L_{cls} + L_{reg}
loss_l, loss_c = criterion(out, targets) loss = loss_l + loss_c
may be the two place should be modified
The text was updated successfully, but these errors were encountered:
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Thanks for your code
in the paper
so may be
it should be changed
also in the paper
L =\lambda * L_{cls} + L_{reg}
in the code
may be the two place should be modified
The text was updated successfully, but these errors were encountered: