Co-saliency is used to discover the common saliency on the multiple images, which is a
relatively underexplored area. In this paper, we introduce a new cluster-based algorithm for …

Co-saliency detection aims at discovering the common salient objects existing in multiple
images. Most existing methods combine multiple saliency cues based on fixed weights, and …

Co-saliency detection is a newly emerging and rapidly growing research area in the
computer vision community. As a novel branch of visual saliency, co-saliency detection …

This letter proposes a novel framework to detect common salient objects in a group of
images automatically and efficiently. Different from most existing co-saliency models which …

Co-saliency detection, an emerging and interesting issue in saliency detection, aims to
discover the common salient objects in a set of images. This letter proposes a hierarchical …

Co-saliency detection, which focuses on extracting commonly salient objects in a group of
relevant images, has been attracting research interest because of its broad applications. In …

We present a novel computational model for simultaneous image co-saliency detection and
co-segmentation that concurrently explores the concepts of saliency and objectness in …

With the goal of effectively identifying common and salient objects in a group of relevant
images, co-saliency detection has become essential for many applications such as video …

With the goal of discovering the common and salient objects from the given image group, co-
saliency detection has received tremendous research interest in recent years. However, as …

Co-saliency detection aims at extracting the common salient regions from an image group
containing two or more relevant images. It is a newly emerging topic in computer vision …