Vehicle Re-Identification Based on Global Relational Attention and Multi-Granularity Feature Learning-Reference-Cited by-同舟云学术

Vehicle Re-Identification Based on Global Relational Attention and Multi-Granularity Feature Learning

Published:2022 Issue: Volume:10 Page:17674-17682
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Tian Xin¹^ORCID,Pang Xiyu¹^ORCID,Jiang Gangwu¹^ORCID,Meng Qinglan¹^ORCID,Zheng Yanli¹

Affiliation:

1. School of Information Science and Electrical Engineering, Shandong Jiaotong University, Jinan, China

Funder

Focus on Research and Development Plan in Shandong Province

Shandong Education Science 13th Five Year Plan Special Project “Research on Examinee Online Identity Verification System Based on Multimodal Biometrics”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09709284.pdf?arnumber=9709284

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3. Bark texture classification using improved local ternary patterns and multilayer neural network

4. Nonlinear dimensionality reduction in robot vision for industrial monitoring process via deep three dimensional Spearman correlation analysis (D3D-SCA)

5. Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-Identification

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2. Unsupervised Vehicle Re-Identification by Spatio-Temporal Contrastive Learning;2023 China Automation Congress (CAC);2023-11-17

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