Image distortions can attract attention away from the natural scene saliency (Redi et al.,
2011). Performance of viewers in visual search tasks and their fixation patterns are also …

Many visual attention models have been presented to obtain the saliency of a scene, ie, the
visually significant parts of a scene. However, some mechanisms are still not taken into …

The top-down guidance of visual attention is an important factor allowing humans to
effectively process incoming visual information. Our understanding of the processes …

Visual saliency highlights regions in a scene that are most relevant to an observer. The
process by which a saliency map is formed has been a crucial subject of investigation in …

Existing saliency models have been designed and evaluated for predicting the saliency in
distortion-free images. However, in practice, the image quality is affected by a host of factors …

Visual attention is a mechanism of the visual system that can select relevant objects from a
specific scene. Interactions among neurons in multiple cortical areas are considered to be …

Visual attention modeling is crucial for interpreting the structure and functionality of human
vision system. A typical computational model of visual attention includes two basic elements …

Visual attention allows the human visual system to effectively deal with the huge flow of
visual information acquired by the retina. Since the years 2000, the human visual system …

At each glance, biological vision systems organize a tremendous amount of input and fixate
attention to the prominent aspects of a scene. The diverse models seeking to emulate these …

We present a novel method for deep image saliency prediction that leverages a cognitive
model of visual attention as an inductive bias. This is in stark contrast to recent purely data …