Fig. 3
From: Visual saliency detection for RGB-D images under a Bayesian framework
Graphical models of DMNB for saliency estimation. y and x are the corresponding observed states, and z is the hidden variable, where each feature x j is assumed to have been generated from one of C Gaussian distributions with a mean of \(\{\mu _{jk},[j]_{1}^{N}\}\) and a variance of \(\{\sigma _{jk}^{2},[j]_{1}^{N}\}\), and y is either 0 or 1, indicating whether the pixel is salient