Fine-Grained Fusion With Distractor Suppression for Video-Based Person Re-Identification

Video based person re-identification aims to associate video clips with the same identity by designing discriminative and representative features. Existing approaches simply compute representations for video clips via frame-level or region-level feature aggregation, where fine-grained local informat...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Jiali Xi, Qin Zhou, Yiru Zhao, Shibao Zheng
Format:	Article
Language:	English
Published:	IEEE 2019-01-01
Subjects:	Person re-identification image retrieval deep learning attention module
Online Access:	https://ieeexplore.ieee.org/document/8782110/