Apr 14, 2019 · This paper tackles the challenging problem of multi-shot person re-identification with Convolutional Neural Network (CNN). As no prior ...
Apr 14, 2019 · This paper tackles the challenging problem of multi-shot person re-identification with Convolutional Neural Network (CNN).
This paper tackles the challenging problem of multi-shot person re-identification with Convolutional Neural Network (CNN). As no prior information about how ...
In this paper, we present a novel multi-channel parts-based convolution- al neural network (CNN) model under the triplet framework for person re-identification.
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Multi-Instance Convolutional Neural Network for Multi-Shot Person Re-Identification. Article. Feb 2019; NEUROCOMPUTING. Xiaokai Liu · Sheng Bi ...
This is a repository for organizing articles related to person re-identification. Most papers are linked to the pdf address provided by arXiv or Openaccess.
A multi-stage deep learning framework for image classification and apply it on bodypart recognition achieves better performances than state-of-the-art ...
Person Re-identification (re-id) aims to match people across non-overlapping camera views in a public space. It is a challenging problem because many people ...
The first is to use the characteristics of the multi-branch network structure of person re-identification to dig out the most effective online self-distillation ...
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Deep learning, particularly convolutional neural networks (CNNs), has significantly improved the accuracy of person Re-ID algorithms, by learning a feature ...