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Crowding reveals fundamental differences in local vs. global processing in humans and machines

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0 Published in 2020 at "Vision Research"

DOI: 10.1016/j.visres.2019.12.006

Abstract: Feedforward Convolutional Neural Networks (ffCNNs) have become state-of-the-art models both in computer vision and neuroscience. However, human-like performance of ffCNNs does not necessarily imply human-like computations. Previous studies have suggested that current ffCNNs do not… read more here.

Keywords: fundamental differences; processing; human like; global shape ... See more keywords