Université de Rennes 1. IRISA, Campus universitaire de Beaulieu, 35042, Rennes, France.
Behav Res Methods. 2013 Mar;45(1):251-66. doi: 10.3758/s13428-012-0226-9.
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.
本文致力于研究视觉注意的计算建模。我们报告了常用于评估此类模型性能的方法。我们根据历时性眼动追踪数据，考察了常见评估方法的优缺点。然后，我们举例说明了一些方法在视觉注意计算模型基准测试中的应用。
