We propose a novel automatic salient object segmentation algorithm which integrates both
bottom-up salient stimuli and object-level shape prior, ie, a salient object has a well-defined …

This paper proposes an effective salient object segmentation method via the graph-based
integration of saliency and objectness. Based on the superpixel segmentation result of the …

In this paper, we address co-saliency detection in a set of images jointly covering objects of
a specific class by an unsupervised convolutional neural network (CNN). Our method does …

This letter proposes a novel co-saliency model to effectively discover and highlight co-
salient objects in a set of images. Based on the gross similarity which combines color …

High-level semantic knowledge in addition to low-level visual cues is essentially crucial for
co-saliency detection. This article proposes a novel end-to-end deep learning approach for …

This paper proposes a novel image co-segmentation method, which aims to segment the
common objects in a group of images. The proposed method takes advantages of the …

Image co-saliency detection via fusion-based or learning-based methods faces cross-cutting
issues. Fusion-based methods often combine saliency proposals using a majority voting …

Salient object perception is the process of sensing the salient information from the spatio-
temporal visual scenes, which is a rapid pre-attention mechanism for the target location in a …

What makes an object salient? Almost all the works so far determine object saliency based
on the amount of the contrast of a patch or super pixel with it's surrounding. Due to this …

This paper proposes an efficient salient object segmentation method via depth-aware image
layering. First, based on the multiscale region segmentation results of an input color image …