most citedSeeing eye-to-eye? A comparison of object recognition performance in humans and deep convolutional neural networks under image manipulation

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CV2020★ 2 cited

Seeing eye-to-eye? A comparison of object recognition performance in humans and deep convolutional neural networks under image manipulation

Leonard E. van Dyck, Walter R. Gruber

For a considerable time, deep convolutional neural networks (DCNNs) have reached human benchmark performance in object recognition. On that account, computational neuroscience and…