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;

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.