Multi-scale attention vehicle re-identification

Aihua Zheng; Xianmin Lin; Jiacheng Dong; Wenzhong Wang; Jin Tang; Bin Luo

doi:10.1007/s00521-020-05108-x

ScienceGate Book Chapters

JOURNAL ARTICLE

Multi-scale attention vehicle re-identification

Aihua Zheng Xianmin Lin Jiacheng Dong Wenzhong Wang Jin Tang Bin Luo

Year: 2020 Journal: Neural Computing and Applications Vol: 32 (23)Pages: 17489-17503 Publisher: Springer Science+Business Media

DOI: 10.1007/s00521-020-05108-x

Get Full-Text PDF Get Analytical Report

Keywords:

Discriminative model Computer science Subnetwork Exploit Artificial intelligence Focus (optics) Computational Science and Engineering Identification (biology) Scale (ratio) Feature (linguistics) Machine learning Pattern recognition (psychology) Computer vision Computer security

Metrics

Cited By

1.99

FWCI (Field Weighted Citation Impact)

Refs

0.88

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multi-scale attention vehicle re-identification

Metrics

Citation History

Topics

Related Documents

Vehicle Re-identification Based on Multi-Scale Attention Feature Fusion

Multi-dimensional Attention Network for Vehicle Re-identification

Progressive learning with multi-scale attention network for cross-domain vehicle re-identification

Cross-modal vehicle re-identification based on multi-scale features and attention mechanism

Multi-View Spatial Attention Embedding for Vehicle Re-Identification