Face Space Representations in Deep Convolutional Neural Networks

doi:10.1016/j.tics.2018.06.006

Paper

Face Space Representations in Deep Convolutional Neural Networks

Published Sep 1, 2018 · A. O’toole, C. Castillo, Connor J. Parde

Trends in Cognitive Sciences

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106

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6

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Abstract

Abstract removed due to Elsevier request; this does not indicate any issues with the research. Click the full text link above to read the abstract and view the original source.

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Study Snapshot

Key takeawayDeep convolutional neural networks (DCNNs) provide a new class of visual representation for faces, allowing for generalized face recognition across variations in viewpoint, illumination, expression, and appearance.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

Face Space Representations in Deep Convolutional Neural Networks

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