Knowledge distillation for semi-supervised domain adaptation

Mauricio Orbes-Arteaga, Jorge Cardoso, Lauge Sørensen +5

In the absence of sufficient data variation (e.g., scanner and protocol variability) in annotated data, deep neural networks (DNNs) tend to overfit during training. As a result, th…