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 …

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 …

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 …

Saliency estimation has become a valuable tool in image processing. Yet, existing
approaches exhibit considerable variation in methodology, and it is often difficult to attribute …

Detecting visually salient regions in images is one of the fundamental problems in computer
vision. We propose a novel method to decompose an image into large scale perceptually …

Stereopsis provides an additional depth cue and plays an important role in the human vision
system. This paper explores stereopsis for saliency analysis and presents two approaches …

Efficient landslide map** from high spatial resolution images is important in many
practical applications, such as emergency response. Numerous studies and methods have …

In many visual classification tasks the spatial distribution of discriminative information is (i)
non uniform eg personreading'can be distinguished fromtaking a photo'based on the area …

The human visual system (HVS) can reliably perceive salient objects in an image, but, it
remains a challenge to computationally model the process of detecting salient objects …

Salient object detection or salient region detection models, diverging from fixation prediction
models, have traditionally been dealing with locating and segmenting the most salient object …