Person Re-Identification Based on Squeeze and Excitation Residual Neural Network and Feature Fusion

Ke Wu; Baohua Zhang; Xiaoqi Lü; Yu Gu; Yueming Wang; Xin Liu; Yan Ren; Jianjun Li; Ming Zhang

doi:10.3788/LOP57.181007

Journals >Laser & Optoelectronics Progress >Volume 57 >Issue 18 >Page 181007 > Article

Laser & Optoelectronics Progress
Vol. 57, Issue 18, 181007 (2020)

Person Re-Identification Based on Squeeze and Excitation Residual Neural Network and Feature Fusion

Ke Wu¹, Baohua Zhang^1、*, Xiaoqi Lü², Yu Gu¹, Yueming Wang¹, Xin Liu¹, Yan Ren¹, Jianjun Li¹, and Ming Zhang¹

Author Affiliations

¹School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 0 14010, China

²College of Information Engineering, Inner Mongolia University of Technology, Huhehot, Inner Mongolia 0 10080, China

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DOI: 10.3788/LOP57.181007 Cite this Article Set citation alerts

Ke Wu, Baohua Zhang, Xiaoqi Lü, Yu Gu, Yueming Wang, Xin Liu, Yan Ren, Jianjun Li, Ming Zhang. Person Re-Identification Based on Squeeze and Excitation Residual Neural Network and Feature Fusion[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181007 Copy Citation Text

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