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From photos to sketches - how humans and deep neural networks process objects across different levels of visual abstraction

2021-02-27

Abstract excerpt

<p>Line drawings convey meaning with just a few strokes. Despite strong simplifications, humans can recognize objects depicted in such abstracted images without effort. To what degree do deep convolutional neural networks (CNNs) mirror this human ability to generalize to abstracted object images? While CNNs trained on natural images have been shown to exhibit poor classification performance on drawings, other work...

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Literature Corpus work
b692b930-a0e8-56f0-831a-6b449a66f9f4
DOI
10.31234/osf.io/xg2uy
Open publication

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From photos to sketches - how humans and deep neural networks process objects across different levels of visual abstractionDOI 10.31234/osf.io/xg2uy
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