Exploiting Semantics in Adversarial Training for Image-Level Domain Adaptation

Pierluigi Zama Ramirez, Alessio Tonioni, Luigi Di Stefano

Performance achievable by modern deep learning approaches are directly related to the amount of data used at training time. Unfortunately, the annotation process is notoriously ted…