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

Yukang Zhang; Yan Yan; Yang Lu; Hanzi Wang

doi:10.1007/s11263-024-02276-4

ScienceGate Book Chapters

JOURNAL ARTICLE

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

Yukang Zhang Yan Yan Yang Lu Hanzi Wang

Year: 2024 Journal: International Journal of Computer Vision Vol: 133 (4)Pages: 2176-2196 Publisher: Springer Science+Business Media

DOI: 10.1007/s11263-024-02276-4

Get Full-Text PDF Get Analytical Report

Keywords:

Artificial intelligence Modality (human–computer interaction) Pattern recognition (psychology) Identification (biology) Computer science Computer vision Infrared Optics Biology Physics

Metrics

Cited By

2.65

FWCI (Field Weighted Citation Impact)

Refs

0.84

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

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

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

Metrics

Citation History

Topics

Related Documents

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

Visible Infrared Cross-Modality Person Re-Identification Network Based on Adaptive Pedestrian Alignment

Middle modality interactive feature attention learning for visible-infrared person re-identification

Towards a Unified Middle Modality Learning for Visible-Infrared Person Re-Identification

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