A Novel Pedestrian Reidentification Method Based on a Multiview Generative Adversarial Network

A Novel Pedestrian Reidentification Method Based on a Multiview Generative Adversarial Network

Emerging deep learning (DL) techniques have greatly improved pedestrian reidentification (PRI) performance. However, the existing DL-based PRI methods cannot learn robust feature representations owing to the single view of query images and the limited number of extractable features. Inspired by gene...

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Bibliographic Details
Main Authors: Jifeng Guo, Zhiqi Pang, Ming Yu, Peijiao Xie, Dan Liu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Deep learning (DL)
generative adversarial networks (GANs)
image generation
pedestrian reidentification (PRI)
classification recognition network (CRN)
Online Access:https://ieeexplore.ieee.org/document/9214812/

Internet

https://ieeexplore.ieee.org/document/9214812/

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