Corpus ID: 5560166

Semantic Graph for Zero-Shot Learning

@article{Fu2014SemanticGF,
  title={Semantic Graph for Zero-Shot Learning},
  author={Zhen-Yong Fu and T. Xiang and S. Gong},
  journal={ArXiv},
  year={2014},
  volume={abs/1406.4112}
}
  • Zhen-Yong Fu, T. Xiang, S. Gong
  • Published 2014
  • Computer Science
  • ArXiv
  • Zero-shot learning aims to classify visual objects without any training data via knowledge transfer between seen and unseen classes. This is typically achieved by exploring a semantic embedding space where the seen and unseen classes can be related. Previous works differ in what embedding space is used and how different classes and a test image can be related. In this paper, we utilize the annotation-free semantic word space for the former and focus on solving the latter issue of modeling… CONTINUE READING

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