Zero Shot Detection

@article{Zhu2020ZeroSD,
  title={Zero Shot Detection},
  author={Pengkai Zhu and Hanxiao Wang and Venkatesh Saligrama},
  journal={IEEE Transactions on Circuits and Systems for Video Technology},
  year={2020},
  volume={30},
  pages={998-1010}
}
As we move toward large-scale object detection, it is unrealistic to expect annotated training data, in the form of bounding box annotations around objects, for all object classes at sufficient scale; therefore, the methods capable of unseen object detection are required. We propose a novel zero-shot method based on training an end-to-end model that fuses semantic attribute prediction with visual features to propose object bounding boxes for seen and unseen classes. While we utilize semantic… Expand
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