Multicriteria saliency detection: a (exact) robust network design approach
Sign Up to like & getrecommendations! Published in 2020 at "Annals of Operations Research"
DOI: 10.1007/s10479-018-2801-7
Abstract: In the last decades, a wide body of literature has been devoted to study different saliency detection methods. These methods are typically devised on the basis of different image analysis paradigms, which leads to different… read more here.
Keywords: saliency detection; network design; detection;
Unsupervised RGB-T saliency detection by node classification distance and sparse constrained graph learning
Sign Up to like & getrecommendations! Published in 2022 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02434-y
Abstract: Saliency detection methods which center on RGB images are sensitive to surrounding environments. Fusing complementary RGB and thermal infrared (RGB-T) images is an effective way to promote the final saliency performance. However, there are relatively… read more here.
Keywords: saliency detection; rgb; classification distance; saliency ... See more keywords
Saliency detection using multiple low-level priors and a propagation mechanism
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-07842-4
Abstract: The majority of existing methods for saliency detection based on low-level features failed to uniformly highlight the salient-object regions. In order to improve the accuracy and consistency of generated saliency maps, we propose a novel… read more here.
Keywords: saliency; multiple low; saliency detection; level ... See more keywords
A brief survey of visual saliency detection
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DOI: 10.1007/s11042-020-08849-y
Abstract: Salient object detection models mimic the behavior of human beings and capture the most salient region/object from the images or scenes, this field contains many important applications in both computer vision and pattern recognition tasks.… read more here.
Keywords: object detection; brief survey; saliency; detection ... See more keywords
Saliency detection via joint modeling global shape and local consistency
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DOI: 10.1016/j.neucom.2016.10.007
Abstract: Saliency detection is the task of locating informative regions in an image, which is a challenging task in computer vision. In contrast to the existing saliency detection models that focus on either local or global… read more here.
Keywords: saliency; detection; shape; saliency detection ... See more keywords
A deep-learning based feature hybrid framework for spatiotemporal saliency detection inside videos
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.01.076
Abstract: Abstract Although research on detection of saliency and visual attention has been active over recent years, most of the existing work focuses on still image rather than video based saliency. In this paper, a deep… read more here.
Keywords: video; saliency; framework; saliency detection ... See more keywords
Saliency detection based on foreground appearance and background-prior
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.03.049
Abstract: Abstract Saliency detection has drawn increasing attention in the communities of computer vision and image processing. In this paper, we propose an effective saliency optimization scheme by taking account of the foreground appearance and background… read more here.
Keywords: background prior; saliency; foreground appearance; saliency detection ... See more keywords
A simple saliency detection approach via automatic top-down feature fusion
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.12.123
Abstract: Abstract It is widely accepted that the top sides of convolutional neural networks (CNNs) convey high-level semantic features, and the bottom sides contain low-level details. Therefore, most of recent salient object detection methods aim at… read more here.
Keywords: detection; saliency detection; simple saliency; fusion ... See more keywords
Deep spatio-frequency saliency detection
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DOI: 10.1016/j.neucom.2020.05.109
Abstract: Abstract Despite the wide success in many vision tasks, it is still challenging for Convolutional Neural Networks (CNNs) to perform saliency detection due to their limited receptive fields and lack of enough discriminative contexts until… read more here.
Keywords: frequency; saliency; spatio frequency; saliency detection ... See more keywords
Towards Accurate RGB-D Saliency Detection with Complementary Attention and Adaptive Integration
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DOI: 10.1016/j.neucom.2020.12.125
Abstract: Abstract Saliency detection based on the complementary information from RGB images and depth maps has recently gained great popularity. In this paper, we propose Complementary Attention and Adaptive Integration Network (CAAI-Net), a novel RGB-D saliency… read more here.
Keywords: complementary attention; attention; integration; saliency detection ... See more keywords
Environmental Distress and Physiological Signals: Examination of the Saliency Detection Method
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Computing in Civil Engineering"
DOI: 10.1061/(asce)cp.1943-5487.0000926
Abstract: AbstractBurgeoning attention has recently been paid to measuring and assessing the effects of urban built environments on pedestrians’ physiological signals (e.g., gait patterns, blood volume pulse... read more here.
Keywords: examination saliency; environmental distress; saliency detection; distress physiological ... See more keywords