Comment by diyer22
During neural network training, the ground truth (GT) must be known to compute the loss.
In DDN, the GT is only used to calculate the loss and guide sampling; it never becomes an input to the model.
During neural network training, the ground truth (GT) must be known to compute the loss.
In DDN, the GT is only used to calculate the loss and guide sampling; it never becomes an input to the model.