Local-enhanced Multi-resolution Representation Learning for Vehicle Re-identification

Author:

Zhang Jun1,Zhong Xian1,Yuan Jingling1,zhao shilei1,Zhang Rongbo1,Feng Duxiu2,zhong luo3

Affiliation:

1. Wuhan University of Technology, CN

2. ZhongQianLiYuan Engineering Consulting Co., Ltd., CN

3. Wuhan University of Technology, China, China

Funder

Fundamental Research Funds for the Central Universities

Hubei Key Laboratory of Transportation Internet of Things

Publisher

ACM

Reference27 articles.

1. Multi-Scale Deep Feature Fusion for Vehicle Re-Identification

2. Accelerating the Super-Resolution Convolutional Neural Network

3. Part-Regularized Near-Duplicate Vehicle Re-Identification

4. Chih-Chung Hsu , Chia-Wen Lin , Weng-Tai Su , and Gene Cheung . 2019. SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination . IEEE Trans. Image Process .( 2019 ), 6225–6236. Chih-Chung Hsu, Chia-Wen Lin, Weng-Tai Su, and Gene Cheung. 2019. SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination. IEEE Trans. Image Process.(2019), 6225–6236.

5. Jiening Jiao , Wei-Shi Zheng , Ancong Wu , Xiatian Zhu , and Shaogang Gong . 2018 . Deep Low-Resolution Person Re-Identification . In Proc. Conf. Artif. Intell. (AAAI). 6967–6974 . Jiening Jiao, Wei-Shi Zheng, Ancong Wu, Xiatian Zhu, and Shaogang Gong. 2018. Deep Low-Resolution Person Re-Identification. In Proc. Conf. Artif. Intell. (AAAI). 6967–6974.

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