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Recent research has seen many behavioral comparisons between humans and deep neural networks (DNNs) in the domain of image classification. Often, comparison studies focus on the end-result of the learning process by measuring and comparing the simila
Externí odkaz:
http://arxiv.org/abs/2402.09303
In laboratory object recognition tasks based on undistorted photographs, both adult humans and Deep Neural Networks (DNNs) perform close to ceiling. Unlike adults', whose object recognition performance is robust against a wide range of image distorti
Externí odkaz:
http://arxiv.org/abs/2205.10144
Publikováno v:
Clinical & Translational Neuroscience; Jun2024, Vol. 8 Issue 2, p21, 19p
Akademický článek
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Publikováno v:
Huber, Lukas S; Geirhos, Robert; Wichmann, Felix A (2023). The developmental trajectory of object recognition robustness: Children are like small adults but unlike big deep neural networks. Journal of vision, 23(7), pp. 1-30. ARVO 10.1167/jov.23.7.4
In laboratory object recognition tasks based on undistorted photographs, both adult humans and Deep Neural Networks (DNNs) perform close to ceiling. Unlike adults', whose object recognition performance is robust against a wide range of image distorti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a7d5c05b470fe7908c2ffa9b47fed96
http://arxiv.org/abs/2205.10144
http://arxiv.org/abs/2205.10144