VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild-Reference-Cited by-同舟云学术

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VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild

Published:2019-06 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Lou Yihang,Bai Yan,Liu Jun,Wang Shiqi,Duan Lingyu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8938205/8953184/08953888.pdf?arnumber=8953888

Cited by 213 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. Euclidean-Distance-Preserved Feature Reduction for efficient person re-identification;Neural Networks;2024-12

2. Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-09-06

3. SAM-driven MAE pre-training and background-aware meta-learning for unsupervised vehicle re-identification;Computational Visual Media;2024-08-15

4. DAIR-V2XReid: A New Real-World Vehicle-Infrastructure Cooperative Re-ID Dataset and Cross-Shot Feature Aggregation Network Perception Method;IEEE Transactions on Intelligent Transportation Systems;2024-08

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

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