Exploiting Semantics in Adversarial Training for Image-Level Domain Adaptation

13 Oct 2018Pierluigi Zama RamirezAlessio TonioniLuigi 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 tedious and expensive, especially for pixel-wise tasks like semantic segmentation... (read more)

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