title: Methods for comparing scanpaths and saliency maps: strengths and weaknesses.
abstract: In this article, we are interested in the computational modeling of visual attention. We report methods commonly used to assess the performance of these kinds of models. We survey the strengths and weaknesses of common assessment methods based on diachronic eye-tracking data. We then illustrate the use of some methods to benchmark computational models of visual attention.
authors: Université de Rennes 1. IRISA, Campus universitaire de Beaulieu, 35042, Rennes, France. olemeur@irisa.fr
authors: Olivier
authors: O
authors: Le Meur
authors: Thierry
authors: T
authors: Baccino
mesh_terms: D000465:Algorithms; D001288:Attention / Q000145:classification*; D004056:Differential Threshold; D053483:Eye Movement Measurements; D005133:Eye Movements; D006801:Humans; D008954:Models, Biological; D057849:Optic Flow; D010364:Pattern Recognition, Visual / Q000145:classification*; D012372:ROC Curve; D058609:Visual Field Tests; D014794:Visual Fields