DVHN: A Deep Hashing Framework for Large-Scale Vehicle Re-Identification

Author:

Chen Yongbiao1ORCID,Zhang Sheng2,Liu Fangxin1ORCID,Wu Chenggang1,Guo Kaicheng1,Qi Zhengwei1ORCID

Affiliation:

1. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China

2. Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA

Funder

National NSF of China

Shanghai Key Laboratory of Scalable Computing and Systems

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Reference61 articles.

1. Simultaneous feature learning and hash coding with deep neural networks

2. Deep supervised hashing with triplet labels;wang;Proc Asian Conf Comput Vis,2016

3. Improved Hamming Distance Search Using Variable Length Hashing

4. Deep supervised discrete hashing;li;arXiv 1705 10999,2017

5. Locality-preserving hashing in multidimensional spaces

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