262 citations · 611 across the 12 of their papers we have counts for
Showing 2014Show all
2 papers · 1 filter
cs.CV2014★ 230 cited
Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet
Matthias Kümmerer, Lucas Theis, Matthias Bethge
Recent results suggest that state-of-the-art saliency models perform far from optimal in predicting fixations. This lack in performance has been attributed to an inability to model…
cs.CV2014★ 1 cited
How close are we to understanding image-based saliency?
Matthias Kümmerer, Thomas Wallis, Matthias Bethge
Within the set of the many complex factors driving gaze placement, the properities of an image that are associated with fixations under free viewing conditions have been studied ex…