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The time course of salience: not entirely caused by salience [PDF]
Psychological Research, 2021 AbstractVisual salience is a key component of attentional selection, the process that guards the scarce resources needed for conscious recognition and perception. In previous works, we proposed a measure of visual salience based on a formal theory of visual selection.
Ingrid Scharlau, Alexander Krüger
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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
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Visual Saliency Models for Text Detection in Real World. [PDF]
PLoS ONE, 2014 This paper evaluates the degree of saliency of texts in natural scenes using visual saliency models. A large scale scene image database with pixel level ground truth is created for this purpose.
Renwu Gao +4 more
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Deteksi Penyakit Malaria Menggunakan Convolutional Neural Network Berbasis Saliency
Jurnal Informatika, 2020 Malaria adalah penyakit mematikan yang menjadi masalah di berbagai negara. Metode yang paling umum untuk mendeteksi malaria adalah dengan memeriksanya secara manual, yang memakan waktu.
Yohannes Yohannes +2 more
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Salience of spatiochromatic patterns [PDF]
Journal of Vision, 2021 We investigated the dependence of perceived contrast on cone-opponent stimulus content and its spatial distribution. Participants matched a comparison patch to a light gray standard of fixed contrast. The first experiment determined the point of iso-salience for gratings, Gabors and Gaussians along cardinal directions in cone-opponent color space for ...
Amanda Hardman +2 more
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Predator-Prey Biogeography-Based Optimization for Bio-inspired Visual Attention [PDF]
International Journal of Computational Intelligence Systems, 2013 Visual attention mechanism is one of the important techniques in computer vision field, and it can increase the effectiveness of computer image information processing.
Xiaohua Wang, Haibin Duan
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Chemical Reaction Optimization for Feature Combination in Bio-inspired Visual Attention [PDF]
International Journal of Computational Intelligence Systems, 2015 Bio-inspired visual attention models human visual system to detect the most salient part of a visual field. In the existing diversified computational models, bottom-up visual attention that works out a saliency map to indicate the conspicuity of visual ...
Lu Gan, Haibin Duan
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Salience and Consumer Choice [PDF]
Journal of Political Economy, 2012 We present a theory of context-dependent choice in which a consumer’s attention is drawn to salient attributes of goods, such as quality or price. An attribute is salient for a good when it stands out among the good’s attributes relative to that attribute’s average level in the choice set (or, more broadly, the choice context).
Bordalo, Pedro +2 more
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Salience Bias and Overwork [PDF]
Games, 2022 In this study, we enrich a standard principal–agent model with hidden action by introducing salience-biased perception on the agent’s side. The agent’s misguided focus on salient payoffs, which leads the agent’s and the principal’s probability assessments to diverge, has two effects: First, the agent focuses too much on obtaining a bonus, which ...
Fabio Römeis +2 more
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Saliency Tree: A Novel Saliency Detection Framework [PDF]
IEEE Transactions on Image Processing, 2014 This paper proposes a novel saliency detection framework termed as saliency tree. For effective saliency measurement, the original image is first simplified using adaptive color quantization and region segmentation to partition the image into a set of primitive regions. Then, three measures, i.e., global contrast, spatial sparsity, and object prior are
Liu, Zhi, Zou, Wenbin, Le Meur, Olivier
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