Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-Temporal Path Proposals-Reference-Cited by-同舟云学术

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Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-Temporal Path Proposals

Published:2017-10 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE International Conference on Computer Vision (ICCV)
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Author:

Shen Yantao,Xiao Tong,Li Hongsheng,Yi Shuai,Wang Xiaogang

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8234942/8237262/08237472.pdf?arnumber=8237472

Cited by 254 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. A Vehicle Matching Algorithm by Maximizing Travel Time Probability Based on Automatic License Plate Recognition Data;IEEE Transactions on Intelligent Transportation Systems;2024-08

2. DSA-SCGC: A Dual Self-Attention Mechanism based on Space-Channel Grouped Compression for Vehicle Re-Identification;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. RANDnet: Vehicle Re-Identification with Relation Attention and Nuance–Disparity Masks;Applied Sciences;2024-06-06

4. Stripe-Assisted Global Transformer and Spatial–Temporal Enhancement for Vehicle Re-Identification;Applied Sciences;2024-05-07

5. Drone-captured vehicle re-identification via perspective mask segmentation and hard sample learning;Multimedia Tools and Applications;2024-04-30

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