Learning multi-granularity features from multi-granularity regions for person re-identification

Kaiwen Yang; Jiwei Yang; Xinmei Tian

doi:10.1016/j.neucom.2020.12.016

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Learning multi-granularity features from multi-granularity regions for person re-identification

Kaiwen Yang Jiwei Yang Xinmei Tian

Year: 2020 Journal: Neurocomputing Vol: 432 Pages: 206-215 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2020.12.016

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Keywords:

Granularity Discriminative model Computer science Identification (biology) Artificial intelligence Pattern recognition (psychology) Data mining Machine learning

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Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Gait Recognition and Analysis

Physical Sciences → Engineering → Biomedical Engineering

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Learning multi-granularity features from multi-granularity regions for person re-identification

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