Cross Domain Knowledge Transfer for Person Re-identification

  title={Cross Domain Knowledge Transfer for Person Re-identification},
  author={Qiqi Xiao and Kelei Cao and Haonan Chen and Fangyue Peng and Chi Zhang},
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
Recent Discussions
This paper has been referenced on Twitter 12 times over the past 90 days. VIEW TWEETS
3 Extracted Citations
52 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 52 references

Similar Papers

Loading similar papers…