Moving towards centers: re-ranking with attention and memory for re-identification

Moving towards centers: re-ranking with attention and memory for re-identification

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Re-ranking utilizes contextual information to optimize the initial ranking list of person or vehicle re-identification (re-ID), which boosts the retrieval performance at post-processing steps. This paper proposes a re-ranking network to predict the correlations between the probe and top-ranked neigh...

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Bibliographic Details
Main Authors: Zhou, Yunhao, Wang, Yi, Chau, Lap-Pui
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Electrical and electronic engineering
Re-Identification
Transformer
Online Access:https://hdl.handle.net/10356/162961

Internet

https://hdl.handle.net/10356/162961

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