Detecting and segmenting salient objects from natural scenes, often referred to as salient
object detection, has attracted great interest in computer vision. While many models have …

Object segmentation and object tracking are fundamental research areas in the computer
vision community. These two topics are difficult to handle some common challenges, such …

The last decade has witnessed a growing interest in video salient object detection (VSOD).
However, the research community long-term lacked a well-established VSOD dataset …

The ability to capture inter-frame dynamics has been critical to the development of video
salient object detection (VSOD). While many works have achieved great success in this field …

This paper proposes an end-to-end trainable network, SegFlow, for simultaneously
predicting pixel-wise object segmentation and optical flow in videos. The proposed SegFlow …

We introduce an unsupervised, geodesic distance based, salient video object segmentation
method. Unlike traditional methods, our method incorporates saliency as prior for object via …

Most existing bottom-up methods measure the foreground saliency of a pixel or region
based on its contrast within a local context or the entire image, whereas a few methods focus …

The use of complementary information, namely depth or thermal information, has shown its
benefits to salient object detection (SOD) during recent years. However, the RGB-D or RGB …

In this paper, we introduce Cellular Automata--a dynamic evolution model to intuitively
detect the salient object. First, we construct a background-based map using color and space …

Salient object detection has been attracting a lot of interest, and recently various heuristic
computational models have been designed. In this paper, we regard saliency map …