Multi-Domain Learning and Identity Mining for Vehicle Re-Identification-Reference-Cited by-同舟云学术

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Multi-Domain Learning and Identity Mining for Vehicle Re-Identification

Published:2020-06 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

He Shuting,Luo Hao,Chen Weihua,Zhang Miao,Zhang Yuqi,Wang Fan,Li Hao,Jiang Wei

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9142289/9150305/09150926.pdf?arnumber=9150926

Cited by 46 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Vehicle Re-Identification Method Based on Multi-Task Learning in Foggy Scenarios;Mathematics;2024-07-19

2. MSFFT: Multi-Scale Feature Fusion Transformer for cross platform vehicle re-identification;Neurocomputing;2024-05

3. CaRA-MOT: 3D Multi-Object Tracking with Memory Mechanism using Camera and Radar;2024 10th International Conference on Control, Automation and Robotics (ICCAR);2024-04-27

4. Semi-automated computer vision-based tracking of multiple industrial entities: a framework and dataset creation approach;EURASIP Journal on Image and Video Processing;2024-03-22

5. A novel dual-pooling attention module for UAV vehicle re-identification;Scientific Reports;2024-01-23

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