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International Symposium on Intelligent Computing Systems

ISICS 2020: Intelligent Computing Systems pp 1–10Cite as

An Investigation on Performance of Attention Deep Neural Networks in Rapid Object Recognition

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1187))

Abstract

Inspite of the huge success of Deep Neural Networks in object recognition, there are still situations in which they cannot reach human performance. In this work, the performance of an attention Deep Neural Network which is cued by important pixel of objects is addressed. First, the effect of color on accuracy of classification is evaluated. Then the network performance is compared with humans by using a set of images from different levels of revelation of important pixels. The results indicate that color information enhances the recognition of objects and there is a correspondence in accuracy of classification as well as correlation in decisions between human and attention networks at middle and low levels of important pixel revelation respectively.

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Acknowledgment

This research has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 665919. Thanks to Thomas Serre and Drew Linsley.

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Authors and Affiliations

  1. Department of Cognitive Linguistic and Psychological Sciences, Brown University, Providence, USA

    Zahra Sadeghi

Authors
  1. Zahra Sadeghi
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Correspondence to Zahra Sadeghi .

Editor information

Editors and Affiliations

  1. Autonomous University of Yucatán, Mérida, Mexico

    Carlos Brito-Loeza

  2. Autonomous University of Yucatán, Mérida, Mexico

    Arturo Espinosa-Romero

  3. Autonomous University of Yucatán, Mérida, Yucatán, Mexico

    Anabel Martin-Gonzalez

  4. Higher Colleges of Technology, Sharjah, United Arab Emirates

    Asad Safi

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Sadeghi, Z. (2020). An Investigation on Performance of Attention Deep Neural Networks in Rapid Object Recognition. In: Brito-Loeza, C., Espinosa-Romero, A., Martin-Gonzalez, A., Safi, A. (eds) Intelligent Computing Systems. ISICS 2020. Communications in Computer and Information Science, vol 1187. Springer, Cham. https://doi.org/10.1007/978-3-030-43364-2_1

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  • DOI: https://doi.org/10.1007/978-3-030-43364-2_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-43363-5

  • Online ISBN: 978-3-030-43364-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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