Meaning maps and saliency models based on deep convolutional neural networks are insensitive to image meaning when predicting human fixations - data
Data from the paper: Meaning maps and saliency models based on deep convolutional neural networks are insensitive to image meaning when predicting human fixations. Preprint: https://www.biorxiv.org/content/10.1101/840256v1 Marek A. Pedziwiatr marek.pedziwi@gmail.com September 2020
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Sprache: | eng |
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Zusammenfassung: | Data from the paper: Meaning maps and saliency models based on deep convolutional neural networks are insensitive to image meaning when predicting human fixations. Preprint: https://www.biorxiv.org/content/10.1101/840256v1 Marek A. Pedziwiatr marek.pedziwi@gmail.com September 2020 |
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DOI: | 10.5281/zenodo.3490433 |