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Robust and explainable fine-grained visual classification with transfer learning: a dual-carriageway framework

Lookup NU author(s): Dr Zheming Zuo, Joe Smith, Professor Boguslaw ObaraORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Publication metadata

Author(s): Zuo Z, Smith J, Stonehouse J, Obara B

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year of Conference: 2024

Pages: 183-193

Online publication date: 27/09/2024

Acceptance date: 08/04/2024

Date deposited: 08/04/2024

ISSN: 2160-7516

Publisher: IEEE

URL: https://doi.org/10.1109/CVPRW63382.2024.00023

DOI: 10.1109/CVPRW63382.2024.00023

ePrints DOI: 10.57711/w07k-ks32

Notes: Conference website: https://cvpr.thecvf.com/

Library holdings: Search Newcastle University Library for this item

ISBN: 9798350365474

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