Coarse-grained and Fine-grained Features Extraction Based on Unsupervised Learning in Pedestrian Re-identification

In the research of pedestrian re-identification, there is not enough feature discrimination information, and factors such as occlusion and illumination will interfere with the accurate extraction of effective features, having a decisive impact on the subsequent similarity measurement and ranking of...

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Bibliographic Details

Published in:	Jisuanji gongcheng
Main Author:	TANG Jiamin, HAN Hua, HUANG Li
Format:	Article
Language:	English
Published:	Editorial Office of Computer Engineering 2022-04-01
Subjects:	computer vision|pedestrian re-identification|unsupervised learning|feature learning|loss function|minimum distance criterion
Online Access:	https://www.ecice06.com/fileup/1000-3428/PDF/20220433.pdf