Person re-identification based on two-stream network with attention and pose features

HIGHLIGHTS

  • who: XIAOWEI GONG et al. from the Key Laboratory of Complex Systems Modeling Simulation, School of Computer Science Technology, Hangzhou Dianzi University, Hangzhou, China have published the research: Person Re-Identification Based on Two-Stream Network With Attention and Pose Features, in the Journal: (JOURNAL)
  • what: In this paper, the goal is to extract locally prominent potential properties from the selected middle layer to obtain richer cross-domain image matching representation. Although the paper was relatively simple, the image_quality generated was not very high and can even be described as miserable. In terms of the . . .

     

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