Global–Local Discriminative Representation Learning Network for Viewpoint-Aware Vehicle Re-Identification in Intelligent Transportation-Reference-Cited by-同舟云学术

Global–Local Discriminative Representation Learning Network for Viewpoint-Aware Vehicle Re-Identification in Intelligent Transportation

Published:2023 Issue: Volume:72 Page:1-13
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Chen Xiaobo¹^ORCID,Yu Haoze¹^ORCID,Zhao Feng¹^ORCID,Hu Yu²^ORCID,Li Zuoyong³^ORCID

Affiliation:

1. School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China

2. Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China

3. Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, College of Computer and Control Engineering, Minjiang University, Fuzhou, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Taishan Scholars Program of Shandong Province

Natural Science Foundation of Shandong Province

Yantai Science and Technology Development Plan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10182351.pdf?arnumber=10182351

Reference43 articles.

1. A vehicle re-identification framework based on the improved multi-branch feature fusion network

2. Efficient but lightweight network for vehicle re-identification with center-constraint loss

3. MART: Mask-aware reasoning transformer for vehicle re-identification;lu;IEEE Trans Intell Transp Syst,2023

4. Joint metric learning of local and global features for vehicle re-identification

5. Lord of the Rings: Hanoi Pooling and Self-Knowledge Distillation for Fast and Accurate Vehicle Reidentification

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