Meaning maps and saliency models based on deep convolutional neural networks are insensitive to image meaning when predicting human fixations

Marek A. Pedziwiatr; Matthias Kümmerer; Thomas S. A. Wallis; Matthias Bethge; Christoph Teufel

doi:10.1016/j.cognition.2020.104465

Meaning maps and saliency models based on deep convolutional neural networks are insensitive to image meaning when predicting human fixations

著者: Marek A. Pedziwiatr, Matthias Kümmerer, Thomas S. A. Wallis, Matthias Bethge, Christoph Teufel - Cognition 2020 被引用: 32

Meaning maps and saliency models based on deep convolutional neural networks are insensitive to image meaning when predicting human fixations | Litlas