GAReID: Grouped and Attentive High-Order Representation Learning for Person Re-Identification

Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/25523

Title:	GAReID: Grouped and Attentive High-Order Representation Learning for Person Re-Identification
Authors:	Wang, P Su, F Zhao, Z Zhao, Y Boulgouris, NV
Keywords:	group shuffle;high-order pooling;Kronecker product;part misalignments;person re-identification (ReID)
Issue Date:	5-Oct-2022
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Citation:	Wang, P. et al. (2022) 'GAReID: Grouped and Attentive High-Order Representation Learning for Person Re-Identification', IEEE Transactions on Neural Networks and Learning Systems, 0 (in press), pp. 1 - 15. doi: 10.1109/tnnls.2022.3209537.
URI:	https://bura.brunel.ac.uk/handle/2438/25523
DOI:	https://doi.org/10.1109/tnnls.2022.3209537
ISSN:	2162-237X
Other Identifiers:	ORCID iDs: Pingyu Wang https://orcid.org/0000-0001-9769-8035; Fei Su https://orcid.org/0000-0003-4245-4687; Zhicheng Zhao https://orcid.org/0000-0001-6506-7298; Nikolaos Boulgouris https://orcid.org/0000-0002-5382-6856.
Appears in Collections:	Dept of Electronic and Electrical Engineering Research Papers

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