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

Research article (PLoS Computational Biology, 2023) · cited 27× · AI/ML
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Robust deep learning object recognition models rely on low frequency information in natural images

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Robust deep learning object recognition models rely on low frequency information in natural images is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Robust deep learning object recognition models rely on low frequency information in natural images. Retrieved May 24, 2026, from https://4ort.xyz/entity/robust-deep-learning-object-recognition-models-rely-on-low-frequency-information-in-natural-images
MLA “Robust deep learning object recognition models rely on low frequency information in natural images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/robust-deep-learning-object-recognition-models-rely-on-low-frequency-information-in-natural-images.
BibTeX @misc{4ortxyz_robust-deep-learning-object-recognition-models-rely-on-low-frequency-information-in-natural-images_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Robust deep learning object recognition models rely on low frequency information in natural images}}, year = {2026}, url = {https://4ort.xyz/entity/robust-deep-learning-object-recognition-models-rely-on-low-frequency-information-in-natural-images}, note = {Accessed: 2026-05-24}}
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