Re-ID done right: towards good practices for person re-identification

  title={Re-ID done right: towards good practices for person re-identification},
  author={Jon Almaz{\'a}n and Bojana Gajic and Naila Murray and Diane Larlus},
Training a deep architecture using a ranking loss has become standard for the person re-identification task. Increasingly, these deep architectures include additional components that leverage part detections, attribute predictions, pose estimators and other auxiliary information, in order to more effectively localize and align discriminative image regions. In this paper we adopt a different approach and carefully design each component of a simple deep architecture and, critically, the strategy… CONTINUE READING