Transfer learning: In Figure 3, we show that cross-domain performance can greatly improve with a relatively small addition of in-domain target data, via the transfer learning approaches.
it can be seen that (TL:Adv), which simultaneously trains for both source and target data (effectively doubling the training size) with additional adversarial discriminator for source and target domains, achieves the best performance especially for domains that are semantically close (e.g.