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  5. ProtoArgNet: interpretable image classification with super-prototypes and argumentation [technical report]
 
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ProtoArgNet: interpretable image classification with super-prototypes and argumentation [technical report]
File(s)
2311.15438.pdf (2.11 MB)
Preprint
Author(s)
Ayoobi, Hamed
Potyka, Nico
Toni, Francesca
Type
Preprint
Date Issued
2023-11-26
Citation
arXiv, 2023
URI
http://hdl.handle.net/10044/1/109270
URL
http://arxiv.org/abs/2311.15438v1
DOI
https://www.dx.doi.org/10.48550/arXiv.2311.15438
Journal / Book Title
arXiv
Copyright Statement
Copyright © 2023 The Author(s). This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Identifier
http://arxiv.org/abs/2311.15438v1
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