Beyond modality alignment: Learning part-level representation for visible-infrared person re-identification

Peng Zhang; Qiang Wu; Xunxiang Yao; Jingsong Xu

doi:10.1016/j.imavis.2021.104118

ScienceGate Book Chapters

JOURNAL ARTICLE

Beyond modality alignment: Learning part-level representation for visible-infrared person re-identification

Peng Zhang Qiang Wu Xunxiang Yao Jingsong Xu

Year: 2021 Journal: Image and Vision Computing Vol: 108 Pages: 104118-104118 Publisher: Elsevier BV

DOI: 10.1016/j.imavis.2021.104118

Get Full-Text PDF Get Analytical Report

Keywords:

Modality (human–computer interaction) Discriminant Artificial intelligence Modalities Linear discriminant analysis Classifier (UML) Pattern recognition (psychology) Computer science Computer vision Invariant (physics) Machine learning Mathematics

Metrics

Cited By

1.74

FWCI (Field Weighted Citation Impact)

Refs

0.85

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

Face recognition and analysis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Beyond modality alignment: Learning part-level representation for visible-infrared person re-identification

Metrics

Citation History

Topics

Related Documents

Adaptive Middle Modality Alignment Learning for Visible-Infrared Person Re-identification

Fusional Modality and Distribution Alignment Learning for Visible-Infrared Person Re-Identification

Learning a Robust Synthetic Modality with Dual-Level Alignment for Visible-Infrared Person Re-identification

DMANet: Dual-modality alignment network for visible–infrared person re-identification

DMA: Dual Modality-Aware Alignment for Visible-Infrared Person Re-Identification