MGFNet: A Multi-granularity Feature Fusion and Mining Network for Visible-Infrared Person Re-identification

BaiSheng Xu; H. Ye; Wei Wu

doi:10.1007/978-981-99-8073-4_2

ScienceGate Book Chapters

BOOK-CHAPTER

MGFNet: A Multi-granularity Feature Fusion and Mining Network for Visible-Infrared Person Re-identification

BaiSheng Xu H. Ye Wei Wu

Year: 2023 Lecture notes in computer science Pages: 15-28 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-99-8073-4_2

Get Full-Text PDF Get Analytical Report

Keywords:

Granularity Computer science Fuse (electrical) Feature (linguistics) Artificial intelligence Discriminative model Convolutional neural network Pattern recognition (psychology) Identification (biology) Focus (optics) Feature extraction Pedestrian detection Data mining Pedestrian Computer vision Engineering

Metrics

Cited By

1.07

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

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Fire Detection and Safety Systems

Physical Sciences → Engineering → Safety, Risk, Reliability and Quality

MGFNet: A Multi-granularity Feature Fusion and Mining Network for Visible-Infrared Person Re-identification

Metrics

Citation History

Topics

Related Documents

Dual‐granularity feature fusion in visible‐infrared person re‐identification

Augmented Deep Multi-Granularity Pose-Aware Feature Fusion Network for Visible-Infrared Person Re-Identification

Multi-Granularity Feature Utilization Network for Cross-Modality Visible-Infrared Person Re-Identification

Multi-granularity feature utilization network for cross-modality visible-infrared person re-identification

Multi-granularity enhanced feature learning for visible-infrared person re-identification