Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks

Konstantinos Bousmalis, Nathan Silberman, David Dohan +2

Collecting well-annotated image datasets to train modern machine learning algorithms is prohibitively expensive for many tasks. One appealing alternative is rendering synthetic dat…