Results 31 to 40 of about 116,902 (337)
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
Visual Saliency Based on Multiscale Deep Features [PDF]
, 2015 Visual saliency is a fundamental problem in both cognitive and computational sciences, including computer vision. In this CVPR 2015 paper, we discover that a high-quality visual saliency model can be trained with multiscale features extracted using a ...
Li, Guanbin, Yu, Yizhou
core +2 more sources
Computational Modeling of Saliency from Image Histogram
i-Perception, 2011 Computational model of image saliency plays an important role for vision tasks such as visual search and attention modeling. We developed a computational model that captures both shape and color image saliency based on histograms.
Shijian Lu, Joo Hwee Lim
doaj +1 more source
SESS: Saliency Enhancing with Scaling and Sliding [PDF]
arXiv, 2022 High-quality saliency maps are essential in several machine learning application areas including explainable AI and weakly supervised object detection and segmentation. Many techniques have been developed to generate better saliency using neural networks. However, they are often limited to specific saliency visualisation methods or saliency issues.
arxiv
Saliency-driven system models for cell analysis with deep learning. [PDF]
, 2019 Background and objectivesSaliency refers to the visual perception quality that makes objects in a scene to stand out from others and attract attention.
Bianchi, Andrea GC +8 more
core +2 more sources
How a distractor influences fixations during the exploration of natural scenes
Journal of Eye Movement Research, 2017 The distractor effect is a well-established means of studying different aspects of fixation pro-gramming during the exploration of visual scenes. In this study, we present a task-irrelevant distractor to participants during the free exploration of ...
Hélène Devillez +2 more
doaj +1 more source
Clustered Saliency Prediction [PDF]
arXiv, 2022 We present a new method for image salience prediction, Clustered Saliency Prediction. This method divides subjects into clusters based on their personal features and their known saliency maps, and generates an image salience model conditioned on the cluster label.
arxiv
Archives of Electrical Engineering, 2016 A comprehensive comparison of the dynamic and steady state performance characteristics of permanent magnet synchronous motors (PMSM) with interior and surface rotor magnets for line-start operation is presented.
Ogbuka Cosmas +2 more
doaj +1 more source
A Three-Feature Model to Predict Colour Change Blindness
Vision, 2019 Change blindness is a striking shortcoming of our visual system which is exploited in the popular `Spot the difference’ game, as it makes us unable to notice large visual changes happening right before our eyes.
Steven Le Moan, Marius Pedersen
doaj +1 more source
Salience and Skewness Preferences [PDF]
SSRN Electronic Journal, 2018 Abstract Whether people seek or avoid risks on gambling, insurance, asset, or labor markets crucially depends on the skewness of the underlying probability distribution. In fact, people typically seek positively skewed risks and avoid negatively skewed risks.
Dertwinkel-Kalt, Markus, Köster, Mats
openaire +7 more sources