Zero-Shot Kernel Learning

@article{Zhang2018ZeroShotKL,
  title={Zero-Shot Kernel Learning},
  author={Hongguang Zhang and Piotr Koniusz},
  journal={2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2018},
  pages={7670-7679}
}
  • Hongguang Zhang, Piotr Koniusz
  • Published in
    IEEE/CVF Conference on…
    2018
  • Computer Science
  • In this paper, we address an open problem of zero-shot learning. Its principle is based on learning a mapping that associates feature vectors extracted from i.e. images and attribute vectors that describe objects and/or scenes of interest. In turns, this allows classifying unseen object classes and/or scenes by matching feature vectors via mapping to a newly defined attribute vector describing a new class. Due to importance of such a learning task, there exist many methods that learn semantic… CONTINUE READING

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