Corpus ID: 220514779

Semi-supervised Learning with a Teacher-student Network for Generalized Attribute Prediction

@article{Shin2020SemisupervisedLW,
  title={Semi-supervised Learning with a Teacher-student Network for Generalized Attribute Prediction},
  author={Minchul Shin},
  journal={ArXiv},
  year={2020},
  volume={abs/2007.06769}
}
  • Minchul Shin
  • Published 2020
  • Computer Science
  • ArXiv
  • This paper presents a study on semi-supervised learning to solve the visual attribute prediction problem. In many applications of vision algorithms, the precise recognition of visual attributes of objects is important but still challenging. This is because defining a class hierarchy of attributes is ambiguous, so training data inevitably suffer from class imbalance and label sparsity, leading to a lack of effective annotations. An intuitive solution is to find a method to effectively learn… CONTINUE READING

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