DeepList: Learning Deep Features With Adaptive Listwise Constraint for Person Reidentification

@article{Wang2017DeepListLD,
  title={DeepList: Learning Deep Features With Adaptive Listwise Constraint for Person Reidentification},
  author={Zhongjing Wang and Zheng Wang and Changxin Gao and Nong Sang and Rui Huang},
  journal={IEEE Transactions on Circuits and Systems for Video Technology},
  year={2017},
  volume={27},
  pages={513-524}
}
Person reidentification (re-id) aims to match a specific person across nonoverlapping cameras, which is an important but challenging task in video surveillance. Conventional methods mainly focus either on feature constructing or metric learning. Recently, some deep learning-based methods have been proposed to learn image features and similarity measures jointly. However, current deep models for person re-id are usually trained with either pairwise loss, where the number of negative pairs… CONTINUE READING
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