Enhancing cross-modality person re-identification through attention-guided asymmetric feature learning

Xuehua Song; Junxing Zhou; Hua Jin; Xin Yuan; Changda Wang

doi:10.1007/s00530-025-01739-z

ScienceGate Book Chapters

JOURNAL ARTICLE

Enhancing cross-modality person re-identification through attention-guided asymmetric feature learning

Xuehua Song Junxing Zhou Hua Jin Xin Yuan Changda Wang

Year: 2025 Journal: Multimedia Systems Vol: 31 (3) Publisher: Springer Science+Business Media

DOI: 10.1007/s00530-025-01739-z

Get Full-Text PDF Get Analytical Report

Keywords:

Modality (human–computer interaction) Computer science Feature (linguistics) Identification (biology) Artificial intelligence Machine learning Pattern recognition (psychology)

Metrics

Cited By

4.77

FWCI (Field Weighted Citation Impact)

Refs

0.81

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

Face recognition and analysis

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Gait Recognition and Analysis

Physical Sciences → Engineering → Biomedical Engineering

Enhancing cross-modality person re-identification through attention-guided asymmetric feature learning

Metrics

Citation History

Topics

Related Documents

Attention-guided cross-modality person re-identification

Enhancing the discriminative feature learning for visible-thermal cross-modality person re-identification

Modality interactive attention for cross-modality person re-identification

Efficient Shared Feature Learning for Cross-modality Person Re-identification

Discovering Attention-Guided Cross-Modality Correlation for Visible-Infrared Person Re-Identification