Occluded Person Re-Identification by Multi-Granularity Generation Adversarial Network
In order to address the problem that the detailed features of pedestrians are not prominent and the pedestrian pictures are obscured in unique environments in the process of person re-recognition, we propose a person re-recognition method with a multi-grain size generative adversarial network. First...
Main Authors: | Yanqi Wang, Yanguo Sun, Zhenping Lan, Fengxue Sun, Nianchao Zhang, Yuru Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10149323/ |
Similar Items
-
Rethink Motion Information for Occluded Person Re-Identification
by: Hongye Liu, et al.
Published: (2024-03-01) -
Region-based convolutional neural networks for occluded person re-identification
by: Atiqul Islam, et al.
Published: (2024-02-01) -
Occluded Person Re-Identification With Pose Estimation Correction and Feature Reconstruction
by: Zhigang Liu, et al.
Published: (2023-01-01) -
EcReID: Enhancing Correlations from Skeleton for Occluded Person Re-Identification
by: Minling Zhu, et al.
Published: (2023-04-01) -
Focus on the Visible Regions: Semantic-Guided Alignment Model for Occluded Person Re-Identification
by: Qin Yang, et al.
Published: (2020-08-01)