Relation-Based Deep Attention Network with Hybrid Memory for One-Shot Person Re-Identification

One-shot person Re-identification, which owns one labeled sample among numerous unlabeled data for each identity, is proposed to tackle the problem of the shortage of labeled data. Considering the scenarios without sufficient labeled data, it is very challenging to keep abreast of the performance of...

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Detalles Bibliográficos
Autores principales: Si, Runxuan, Zhao, Jing, Tang, Yuhua, Yang, Shaowu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8348650/
https://www.ncbi.nlm.nih.gov/pubmed/34372348
http://dx.doi.org/10.3390/s21155113

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8348650/
https://www.ncbi.nlm.nih.gov/pubmed/34372348
http://dx.doi.org/10.3390/s21155113

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