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Meaning maps and saliency models based on deep convolutio... | ResearchHub
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Meaning maps and saliency models based on deep convolutional neural networks are insensitive to image meaning when predicting human fixations
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Authors
Marek Pedziwiatr
4 more
Marek Pedziwiatr
•
Matthias Kümmerer
2 more
•
Christoph Teufel
Published
November 14, 2019
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Topics
Biology
Neuroscience
Computer Science
Artificial Intelligence
Meaning (Existential)
Show all topics
DOI
10.1101/840256
License
CC-BY
Other Formats
PDF
Supporters
Support the authors with ResearchCoin
Tip RSC
Preprint Server
Topics
Biology
Neuroscience
Computer Science
Artificial Intelligence
Meaning (Existential)
Show all topics
DOI
10.1101/840256
License
CC-BY
Other Formats
PDF
