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Robust deep learning object recognition models rely on low frequency information in natural images.

Machine learning models have difficulty generalizing to data outside of the distribution they were trained on. In particular, vision models are usually vulnerable to adversarial attacks or common corruptions, to which the human visual system is robust. Recent studies have found that regularizing mac...

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מידע ביבליוגרפי
Principais autores: Zhe Li, Josue Ortega Caro, Evgenia Rusak, Wieland Brendel, Matthias Bethge, Fabio Anselmi, Ankit B Patel, Andreas S Tolias, Xaq Pitkow
פורמט: Artigo
שפה:Inglês
יצא לאור: Public Library of Science (PLoS) 2023-03-01
סדרה:PLoS Computational Biology
גישה מקוונת:https://doi.org/10.1371/journal.pcbi.1010932
תגים: הוספת תג
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