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Collaborating Authors

 An Zhao


Domain-Invariant Projection Learning for Zero-Shot Recognition

Neural Information Processing Systems

Zero-shot learning (ZSL) aims to recognize unseen object classes without any training samples, which can be regarded as a form of transfer learning from seen classes to unseen ones. This is made possible by learning a projection between a feature space and a semantic space (e.g.