hi, in you paper, in order to suppress the problem of order collapse, you introduce the adversarial loss. however, I did not find adversarial process, you just minimize the loss_div?
@maliho0803 Hi, as in paper, the adv loss is minimized for adv net, and maximized for HOA, thus we use a gradients reverse layer to implement the maximizing process. And the code is in Line82 of losses.py
hi, in you paper, in order to suppress the problem of order collapse, you introduce the adversarial loss. however, I did not find adversarial process, you just minimize the loss_div?
if I loss some information about your code?