Cross Domain Knowledge Transfer for Person Re-identification

@article{Xiao2016CrossDK,
  title={Cross Domain Knowledge Transfer for Person Re-identification},
  author={Qiqi Xiao and Kelei Cao and Haonan Chen and Fangyue Peng and Chi Zhang},
  journal={CoRR},
  year={2016},
  volume={abs/1611.06026}
}
Person Re-Identification (re-id) is a challenging task in computer vision, especially when there are limited training data from multiple camera views. In this paper, we propose a deep learning based person re-identification method by transferring knowledge of mid-level attribute features and high-level classification features. Building on the idea that identity classification, attribute recognition and reidentification share the same mid-level semantic representations, they can be trained… CONTINUE READING
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