Salient object detection models mimic the behavior of human beings and capture the most
salient region/object from the images or scenes, this field contains many important …

Computer vision builds a connection between image processing and industrials, bringing
modern perception to the automated manufacture of magnetic tiles. In this article, we …

The human attention mechanism can be understood and simulated by closely associating
the saliency prediction task to neuroscience and psychology. Furthermore, saliency …

We extensively compare, qualitatively and quantitatively, 41 state-of-the-art models (29
salient object detection, 10 fixation prediction, 1 objectness, and 1 baseline) over seven …

A novel Boolean Map based Saliency (BMS) model is proposed. An image is characterized
by a set of binary images, which are generated by randomly thresholding the image's color …

Saliency prediction typically relies on hand-crafted (multiscale) features that are combined in
different ways to form a" master" saliency map, which encodes local image conspicuity …

Visual attention is a process that enables biological and machine vision systems to select
the most relevant regions from a scene. Relevance is determined by two components: 1) top …

Significant recent progress has been made in developing high-quality saliency models.
However, less effort has been undertaken on fair assessment of these models, over large …

In recent saliency detection research, many graph-based algorithms have applied boundary
priors as background queries, which may generate completely “reversed” saliency maps if …

Movies have become one of the major sources of entertainment in the current era, which are
based on diverse ideas. Action movies have received the most attention in last few years …