SUN: A Bayesian Detection Framework for Visual Saliency Using Natural Statistics

SUN: A Bayesian framework for visual saliency detection leveraging natural scene statistics. This bottom-up approach identifies salient regions in images through probabilistic inference and statistical priors, with implementations typically involving likelihood computation, prior probability models, and Bayesian posterior estimation.