research data . Dataset . 2016

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Open Access
  • Published: 15 Jan 2016
Abstract
<div><p>The primate visual system achieves remarkable visual object recognition performance even in brief presentations, and under changes to object exemplar, geometric transformations, and background variation (a.k.a. core visual object recognition). This remarkable performance is mediated by the representation formed in inferior temporal (IT) cortex. In parallel, recent advances in machine learning have led to ever higher performing models of object recognition using artificial deep neural networks (DNNs). It remains unclear, however, whether the representational performance of DNNs rivals that of the brain. To accurately produce such a comparison, a major dif...
Subjects
free text keywords: Uncategorised, object recognition, object recognition performance, dnn, limitation, classifier training examples, object recognition task, Deep Neural Networks Rival, model
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Dataset . 2016
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