Salient object detection: A survey
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 detection, has attracted great interest in computer vision. While many models have …
Saliency filters: Contrast based filtering for salient region detection
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 …
approaches exhibit considerable variation in methodology, and it is often difficult to attribute …
Salient object detection: A benchmark
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 …
salient object detection, 10 fixation prediction, 1 objectness, and 1 baseline) over seven …
Salient object detection: A discriminative regional feature integration approach
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 …
computational models have been designed. In this paper, we regard saliency map …
Efficient salient region detection with soft image abstraction
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 …
vision. We propose a novel method to decompose an image into large scale perceptually …
Leveraging stereopsis for saliency analysis
Y Niu, Y Geng, X Li, F Liu - 2012 IEEE conference on computer …, 2012 - ieeexplore.ieee.org
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 …
system. This paper explores stereopsis for saliency analysis and presents two approaches …
[HTML][HTML] HADeenNet: A hierarchical-attention multi-scale deconvolution network for landslide detection
Efficient landslide map** from high spatial resolution images is important in many
practical applications, such as emergency response. Numerous studies and methods have …
practical applications, such as emergency response. Numerous studies and methods have …
Discriminative spatial saliency for image classification
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 …
non uniform eg personreading'can be distinguished fromtaking a photo'based on the area …
Panoramic Vision Transformer for Saliency Detection in 360 Videos
Abstract 360∘ video saliency detection is one of the challenging benchmarks for 360∘ video
understanding since non-negligible distortion and discontinuity occur in the projection of any …
understanding since non-negligible distortion and discontinuity occur in the projection of any …
Visual-patch-attention-aware saliency detection
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 …
remains a challenge to computationally model the process of detecting salient objects …