Salient object detection is a challenging research area, which aims to highlight significant
region of the visual scene more accurately and quickly. In this research direction, we …

Salient object detection in a real-time environment demands high accuracy with less
computation time. It is a changeling task to investigate a saliency model which improves …

Salient object detection is a challenging research area and various methods have been
proposed in literature. However, these methods usually focus on detecting salient objects in …

The diversity of natural images in terms of visual features is useful in saliency detection. The
complementary visual features jointly improve the performance of salient object detection. In …

Salient object detection is a challenging task, and several methods have been proposed for
the same in the literature. The problem lies in that most of the methods perform good on a …

Salient object detection is one of the challenging problems in the field of computer vision.
Most of the models use a center prior to detect salient objects. They give more weightage to …

The capability of humans in distinguishing salient objects from background is at par
excellence. The researchers are yet to develop a model that matches the detection accuracy …

Salient Object Detection (SOD) can mimic the human vision system by using algorithms that
simulate the way how the eye detects and processes visual information. It focuses mainly on …

This paper proposes a saliency detection method via two-stage absorbing Markov chain
based on background and foreground for detecting salient objects in images. Firstly, image …

Salient object detection has received much attention in the past decades. One of the
representative approaches is utilizing the convex hull prior to find the salient object in the …