From: Objects predict fixations better than early saliency Journal of Vision. 2008;8(14):18. doi:10.1167/8.14.18 Figure Legend: Object maps predict fixations. (A) Area under the curve (AUCs) for fixations predicted by saliency maps ( x-axis) and object maps ( y-axis). Each data point corresponds to one image. Distribution of either AUC depicted as marginals (same axes as scatter plot). For points above the diagonal object map's prediction is better than the saliency map's (68 images), below the diagonal the opposite is the case (25 images). Magenta numbers identify examples in panel B. (B) Examples of images, in which fixations are predicted best by the object map and reasonable by the saliency map (top), well by the object map despite bad prediction by saliency map (2nd from top), best prediction by saliency map, despite bad prediction by object map (2nd from bottom) and bad prediction by both (bottom). Left: image; middle: object map; right: saliency map. Fixations of all observers in cyan. Date of download: 1/2/2018 The Association for Research in Vision and Ophthalmology Copyright © 2018. All rights reserved.