Personalized saliency prediction takes the personal preference of each individual into account. In other words, it considers each subject as a task.
Abstract—Nearly all existing visual saliency models by far have focused on predicting a universal saliency map across all observers.
Aug 23, 2018 · Abstract: Nearly all existing visual saliency models by far have focused on predicting a universal saliency map across all observers.
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This work proposes to decompose a personalized saliency map into a universalSaliency map (referred to as PSM) predictable by existing saliency detection ...
Dec 17, 2017 · PDF | Almost all existing visual saliency models focus on predicting a universal saliency map across all observers.
Personalized saliency prediction takes the personal preference of each individual into account.
We present an enriched derivative of the GAN network, which is able to generate personalized saliency predictions when fed with image stimuli and specific ...
We model PSM based on universal saliency map (USM) shared by different participants and adopt a multi-task CNN framework to estimate the discrepancy between PSM ...
Jul 6, 2023 · This paper presents few-shot personalized saliency prediction based on inter-personnel gaze patterns.
Mar 9, 2022 · We propose a Gradient Boosted Tree Regression model to extract personalized saliency map from the universal saliency map with an average accuracy of 80%.