I am training a 2d image landmark estimation network where I have lots of synthetic data, but limited realistic labelled data. I can gather lots of un-labelled real data, but labelling is difficult. I have come across a few techniques out there like DANN As a non-expert, I’m not sure where exactly to start. Are there any common techniques that are worth trying first? Thanks!