Noise increases the correspondence between artificial and human vision.
The best performing computer vision systems are based on deep neural networks (DNNs). A study in this issue of PLOS Biology shows that DNNs trained on noisy stimuli are better than standard DNNs at mirroring both human behavioral and neural visual responses.
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2021-12-01
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| Series: | PLoS Biology |
| Online Access: | https://journals.plos.org/plosbiology/article/file?id=10.1371/journal.pbio.3001477&type=printable |
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