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Do deep neural networks see the way we do?

Georgin Jacob, R. T. Pramod, Harish Katti, View ORCID ProfileS. P. Arun
doi: https://doi.org/10.1101/860759
Georgin Jacob
Centre for Neuroscience, Indian Institute of Science, Bangalore 560012Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore 560012
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R. T. Pramod
Centre for Neuroscience, Indian Institute of Science, Bangalore 560012Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore 560012
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Harish Katti
Centre for Neuroscience, Indian Institute of Science, Bangalore 560012
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S. P. Arun
Centre for Neuroscience, Indian Institute of Science, Bangalore 560012
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  • ORCID record for S. P. Arun
  • For correspondence: sparun@iisc.ac.in
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ABSTRACT

Deep neural networks have revolutionized computer vision, and their object representations match coarsely with the brain. As a result, it is widely believed that any fine scale differences between deep networks and brains can be fixed with increased training data or minor changes in architecture. But what if there are qualitative differences between brains and deep networks? Do deep networks even see the way we do? To answer this question, we chose a deep neural network optimized for object recognition and asked whether it exhibits well-known perceptual and neural phenomena despite not being explicitly trained to do so. To our surprise, many phenomena were present in the network, including the Thatcher effect, mirror confusion, Weber’s law, relative size, multiple object normalization and sparse coding along multiple dimensions. However, some perceptual phenomena were notably absent, including processing of 3D shape, patterns on surfaces, occlusion, natural parts and a global advantage. Our results elucidate the computational challenges of vision by showing that learning to recognize objects suffices to produce some perceptual phenomena but not others and reveal the perceptual properties that could be incorporated into deep networks to improve their performance.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted December 02, 2019.
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Do deep neural networks see the way we do?
Georgin Jacob, R. T. Pramod, Harish Katti, S. P. Arun
bioRxiv 860759; doi: https://doi.org/10.1101/860759
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Do deep neural networks see the way we do?
Georgin Jacob, R. T. Pramod, Harish Katti, S. P. Arun
bioRxiv 860759; doi: https://doi.org/10.1101/860759

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