Towards Recognizing Unseen Categories in Unseen Domains

  title={Towards Recognizing Unseen Categories in Unseen Domains},
  author={Massimiliano Mancini and Zeynep Akata and Elisa Ricci and Barbara Caputo},
Current deep visual recognition systems suffer from severe performance degradation when they encounter new images from classes and scenarios unseen during training. Hence, the core challenge of Zero-Shot Learning (ZSL) is to cope with the semantic-shift whereas the main challenge of Domain Adaptation and Domain Generalization (DG) is the domain-shift. While historically ZSL and DG tasks are tackled in isolation, this work develops with the ambitious goal of solving them jointly,i.e. by… 

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