Video person reidentification based on neural ordinary differential equations and graph convolution network

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1687-6180

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Video person reidentification based on neural ordinary differential equations and graph convolution network ; volume:2021 ; number:1 ; day:5 ; month:8 ; year:2021 ; pages:1-10 ; date:12.2021
EURASIP journal on advances in signal processing / European Association for Speech, Signal and Image Processing ; 2021, Heft 1 (5.8.2021), 1-10, 12.2021

Creator: Zhang, Li-qiang
Huang, Longyang
Duan, Xiao-li

Contributor: SpringerLink (Online service)

DOI: 10.1186/s13634-021-00747-1

URN: urn:nbn:de:101:1-2021103010465692674802

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:24 AM CEST

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Zhang, Li-qiang
Huang, Longyang
Duan, Xiao-li
SpringerLink (Online service)

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Video person reidentification based on neural ordinary differential equations and graph convolution network

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