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[D] Advice on domain adaption / transfer?

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!

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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.