Questions about FEDER

[waner1998]

Hi. In FEDER, there is a loss about the edge ( loss_edge = dice_loss(preds[6], edges)*0.125 + dice_loss(preds[7], edges)*0.25 + dice_loss(preds[8], edges)*0.5 ). However, not all datasets contain data about edge information (for example, 'CAMO' ), so I had to remove this loss about edge information, but the experimental results are much different from the results in your article. May I ask how you dealt with this in your experiments? Sincerely,