A 3D shape inference model matches human visual object similarity judgments better than deep convolutional neural networks

Abstract

In the past few years, deep convolutional neural networks (CNNs) trained on large image data sets have shown impressive visual object recognition performances. Consequently, these models have attracted the attention of the cognitive science community. Recent studies comparing CNNs with neural data from cortical area IT suggest that CNNs may—in addition to… (More)

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