Imagination Based Sample Construction for Zero-Shot Learning

@inproceedings{Yang2018ImaginationBS,
  title={Imagination Based Sample Construction for Zero-Shot Learning},
  author={Gang Yang and Jinlu Liu and Xirong Li},
  booktitle={SIGIR},
  year={2018}
}
Zero-shot learning (ZSL) which aims to recognize unseen classes with no labeled training sample, efficiently tackles the problem of missing labeled data in image retrieval. Nowadays there are mainly two types of popular methods for ZSL to recognize images of unseen classes: probabilistic reasoning and feature projection. Different from these existing types… CONTINUE READING