A Discriminative Person Re-Identification Model With Global-Local Attention and Adaptive Weighted Rank List Loss

A Discriminative Person Re-Identification Model With Global-Local Attention and Adaptive Weighted Rank List Loss

At present, occlusion and appearance similarity pose severe challenges to person re-identification tasks. Although many robust deep convolutional neural networks alleviate these problems, convolutional layers with limited receptive fields cannot model global semantic information well. In addition, i...

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Bibliographic Details
Main Authors: Yongchang Gong, Liejun Wang, Yongming Li, Anyu Du
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Person re-identification
deep learning
attention
loss function
Online Access:https://ieeexplore.ieee.org/document/9252959/

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