Results 21 to 30 of about 311,283 (352)
Deep Saliency Quality Assessment Network With Joint Metric
IEEE Access, 2018 Saliency detection aims to find the most conspicuous regions in an image, which highly catches the users' attention. High-quality saliency map plays an important role in boosting many other computer vision tasks, such as object detection and segmentation.
Liangzhi Tang +3 more
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Visual saliency based on multiscale deep features [PDF]
Computer Vision and Pattern Recognition, 2015 Visual saliency is a fundamental problem in both cognitive and computational sciences, including computer vision. In this paper, we discover that a high-quality visual saliency model can be learned from multiscale features extracted using deep ...
Guanbin Li, Yizhou Yu
semanticscholar +1 more source
Improving RGBD Saliency Detection Using Progressive Region Classification and Saliency Fusion
IEEE Access, 2016 This paper proposes an effective method to improve the saliency detection performance of existing RGBD (RGB image with Depth map) saliency models. First, a progressive region classification method is proposed to collect training samples at coarse scale ...
Huan Du +4 more
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Benchmarking saliency methods for chest X-ray interpretation
Nature Machine Intelligence, 2022 Saliency methods, which produce heat maps that highlight the areas of the medical image that influence model prediction, are often presented to clinicians as an aid in diagnostic decision-making.
A. Saporta +12 more
semanticscholar +1 more source
Scholarpedia, 2015 Humans can distinguish many object and surface properties by touch. Some of these properties are highly salient: they are immediately perceived after just a brief touch. Since the processing of such features is apparently highly efficient, it is of interest to investigate which features are salient to touch and which are not.
Kappers, A.M.L., Bergmann Tiest, W.M.
openaire +3 more sources
A Focus on Selection for Fixation
Journal of Eye Movement Research, 2016 A computational explanation of how visual attention, interpretation of visual stimuli, and eye movements combine to produce visual behavior, seems elusive. Here, we focus on one component: how selection is accomplished for the next fixation.
John Tsotsos +2 more
doaj +1 more source
PLoS ONE, 2011 Numerous studies have suggested that the deployment of attention is linked to saliency. In contrast, very little is known about how salient objects are perceived. To probe the perception of salient elements, observers compared two horizontally aligned stimuli in an array of eight elements. One of them was salient because of its orientation or direction
Kerzel, Dirk +4 more
openaire +7 more sources
Salient Object Detection with Semantic Priors [PDF]
, 2017 Salient object detection has increasingly become a popular topic in cognitive and computational sciences, including computer vision and artificial intelligence research.
Liu, Luoqi, Nguyen, Tam V.
core +1 more source
Coding of saliency by ensemble bursting in the amygdala of primates
Frontiers in Behavioral Neuroscience, 2012 Salient parts of a visual scene attract longer and earlier fixations of the eyes. Saliency is driven by bottom-up (image dependent) factors and top-down factors such as behavioral relevance, goals, and expertise.
Sara L Gonzalez Andino +1 more
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Convex Optimization Method for Quantifying Image Quality Induced Saliency Variation
IEEE Access, 2021 Visual saliency plays a significant role in image quality assessment. Image distortions cause shift of saliency from its original places. Being able to measure such distortion-included saliency variation (DSV) contributes towards the optimal use of ...
Pengfei Guo +5 more
doaj +1 more source