PuSH - Publication Server of Helmholtz Zentrum München

Panda, M.P.* ; Tiezzi, M.* ; Vilas, M.* ; Roig, G.* ; Eskofier, B.M. ; Zanca, D.*

Correction: FovEx: Human-Inspired Explanations for Vision Transformers and Convolutional Neural Networks (International Journal of Computer Vision, (2025), 133, 10, (7437-7459), 10.1007/s11263-025-02543-y).

Int. J. Comput. Vis., DOI: 10.1007/s11263-025-02580-7 (2025)
Correction DOI
Open Access Hybrid
Creative Commons Lizenzvertrag
The article FovEx: Human-Inspired Explanations for Vision Transformers and Convolutional Neural Networks, written by Mahadev Prasad Panda, Matteo Tiezzi, Martina Vilas, Gemma Roig, Bjoern M. Eskofier and Dario Zanca, was originally published electronically on the publisher’s internet portal on 30 July 2025 without open access. With the author(s)’ decision to opt for Open Choice the copyright of the article changed on 19 October 2025 to © The Author(s) 2025 and the article is forthwith distributed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0.
Altmetric
Additional Metrics?
Edit extra informations Login
Publication type Other: Correction, Addition
ISSN (print) / ISBN 0920-5691
e-ISSN 1573-1405
Publisher Springer
Publishing Place Van Godewijckstraat 30, 3311 Gz Dordrecht, Netherlands
Reviewing status Peer reviewed