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

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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Bibliographic Details
Main Authors: Runxuan Si, Jing Zhao, Yuhua Tang, Shaowu Yang
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
hybrid memory
attention
Re-identification
one shot
Online Access:https://www.mdpi.com/1424-8220/21/15/5113

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