Existing methods use unsupervised training with encoder-decoder architectures (Lei et al., 2016;Zhang and Wu, 2018), and adversarial domain transfer where the model is trained on a source domain and adversarially adapted to a target domain (Shah et al., 2018).
such approaches typically fall short of the performances that are being achieved with in-domain supervised training.