Image-text semantic learning for unsupervised cross-resolution person re-identification

Liu Fu-qi; Zhiqi Pang; Chunyu Wang

doi:10.1016/j.eswa.2025.128092

ScienceGate Book Chapters

JOURNAL ARTICLE

Image-text semantic learning for unsupervised cross-resolution person re-identification

Liu Fu-qi Zhiqi Pang Chunyu Wang

Year: 2025 Journal: Expert Systems with Applications Vol: 286 Pages: 128092-128092 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2025.128092

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Artificial intelligence Identification (biology) Natural language processing Resolution (logic) Unsupervised learning Image (mathematics) Pattern recognition (psychology) Machine learning

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.12

Citation Normalized Percentile

Is in top 1%

Is in top 10%

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

Image-text semantic learning for unsupervised cross-resolution person re-identification

Metrics

Topics

Related Documents

Image–text feature learning for unsupervised visible–infrared person re-identification

Dual-Resolution Fusion Modeling for Unsupervised Cross-Resolution Person Re-Identification

Text-and-Image Learning Transformer for Cross-Modal Person Re-Identification

Semantic consistency learning for unsupervised multi-modal person re-identification

Unsupervised Cross-Dataset Transfer Learning for Person Re-identification