Noise increases the correspondence between artificial and human vision
Copyright policy ) Jessica A. F. Thompson;
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.
- University of Oxford United Kingdom
QH301-705.5, Humans, Neural Networks, Computer, Biology (General), Primer
QH301-705.5, Humans, Neural Networks, Computer, Biology (General), Primer
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selected citations
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These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 1
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