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Published in 2019 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2019.105053
Abstract: BACKGROUND AND OBJECTIVES Saliency refers to the visual perception quality that makes objects in a scene to stand out from others and attract attention. While computational saliency models can simulate the expert's visual attention, there…
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Keywords:
saliency;
deep learning;
attention;
saliency prediction ... See more keywords
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Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.06.029
Abstract: Abstract Various convolutional neural network (CNN)-based methods have shown the ability to boost the performance of saliency prediction on omnidirectional images (ODIs). However, these methods are limited by sub-optimal accuracy, because not all the features…
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Keywords:
network;
ranking attention;
saliency prediction;
saliency ... See more keywords
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3
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3269564
Abstract: 360° video has been applied to many areas such as immersive contents, virtual tours, and surveillance systems. Compared to the field of view prediction on planar videos, the explosive amount of information contained in the…
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Keywords:
saliency;
360 videos;
visual saliency;
viewing bias ... See more keywords
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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3436585
Abstract: The Transformer revolutionized Natural Language Processing and Computer Vision by effectively capturing contextual relationships in sequential data through its attention mechanism. While Transformers have been explored sufficiently in traditional computer vision tasks such as image…
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Keywords:
saliency;
transformer;
video saliency;
saliency transformer ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3197159
Abstract: Cubic projection can be utilized to divide 360° images into multiple rectilinear images, with little distortion. However, the existing saliency prediction models fail to integrate semantic information of these images. In this paper, we address…
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Keywords:
saliency;
inter reasoning;
360 images;
intra inter ... See more keywords
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Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2936112
Abstract: This paper proposes a novel residual attentive learning network architecture for predicting dynamic eye-fixation maps. The proposed model emphasizes two essential issues, i.e., effective spatiotemporal feature integration and multi-scale saliency learning. For the first problem,…
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Keywords:
prediction using;
video saliency;
saliency prediction;
using spatiotemporal ... See more keywords
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Published in 2025 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2025.3578264
Abstract: To achieve saliency prediction in omnidirectional images (ODIs), the majority of prior works typically adopt the convolutional neural networks (CNNs)-based saliency models to extract semantic features to predict prominent regions in ODIs. Albeit achieving substantially…
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Keywords:
memory;
prediction;
mechanism;
model ... See more keywords
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Published in 2021 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2020.2987682
Abstract: Saliency prediction in traditional images and videos has drawn extensive research interests in recent years. Few works have been proposed for saliency prediction over 360° videos. They focus on directly predicting fixations over the whole…
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Keywords:
360 video;
viewport;
saliency prediction;
saliency ... See more keywords
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Published in 2025 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2025.3564292
Abstract: Radiologists’ eye movements during medical image interpretation reflect their perceptual-cognitive processes of diagnostic decisions. The eye movement data can be modeled to represent clinically relevant regions in a medical image and potentially integrated into an…
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Keywords:
saliency;
model;
eye;
eye tracking ... See more keywords
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Published in 2023 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.32.2.023047
Abstract: Abstract. Compared with typically developed people, patients with autism spectrum disorder (ASD) have many differences, including visual attention. Recently, researchers have employed saliency prediction to conduct early diagnosis for patients with ASD by observing whether…
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Keywords:
saliency;
saliency prediction;
dual branch;
attention ... See more keywords
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Published in 2025 at "Entropy"
DOI: 10.3390/e27040436
Abstract: Biologically inspired retinal preprocessing improves visual perception by efficiently encoding and reducing entropy in images. In this study, we introduce a new saliency prediction framework that combines a retinal model with deep neural networks (DNNs)…
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Keywords:
information;
saliency;
prediction;
entropy ... See more keywords