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Context-aware saliency detection [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010 We propose a new type of saliency – context-aware saliency – which aims at detecting the image regions that represent the scene. This definition differs from previous definitions whose goal is to either identify fixation points or detect the dominant ...
Stas Goferman, Lihi Zelnik-Manor, A. Tal
semanticscholar +3 more sources
Visual Saliency Transformer [PDF]
IEEE International Conference on Computer Vision, 2021 Existing state-of-the-art saliency detection methods heavily rely on CNN-based architectures. Alternatively, we rethink this task from a convolution-free sequence-to-sequence perspective and predict saliency by modeling long-range dependencies, which can
Nian Liu +4 more
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Annual Review of Economics, 2021 We review the fast-growing work on salience and economic behavior. Psychological research shows that salient stimuli attract human attention bottom up due to their high contrast with surroundings, their surprising nature relative to recalled experiences, or their prominence.
Pedro Bordalo +2 more
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Salienz, Narrativität und die Rolle musikalischer Parameter bei der Analyse musikalischer Spannung von post-tonaler Orchestermusik [PDF]
Zeitschrift der Gesellschaft für Musiktheorie, 2020 Dieser Artikel diskutiert Ergebnisse einer Studie zu kognitiven Hörstrategien von post-tonaler Orchestermusik (Erkki-Sven Tüür). Im ersten Teil werden musikalische Spannung und temporale Musikanalyse, musikalisches Ereignis und Salienz sowie kognitive ...
Gerhard Lock
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Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation [PDF]
Computer Vision and Pattern Recognition, 2021 Existing studies in weakly-supervised semantic segmentation (WSSS) using image-level weak supervision have several limitations: sparse object coverage, inaccurate object boundaries, and co-occurring pixels from non-target objects.
Seungho Lee +3 more
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IET Radar, Sonar & Navigation, 2022 Shadow has been increasingly a kind of significant aid information for object extraction and scene interpretation in synthetic aperture radar images, which makes SAR shadow detection an important issue.
Haixiang Li +4 more
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Hybrid Multitask Learning Reveals Sequence Features Driving Specificity in the CRISPR/Cas9 System
Biomolecules, 2023 CRISPR/Cas9 technology is capable of precisely editing genomes and is at the heart of various scientific and medical advances in recent times. The advances in biomedical research are hindered because of the inadvertent burden on the genome when genome ...
Dhvani Sandip Vora +2 more
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Specificity-preserving RGB-D saliency detection [PDF]
IEEE International Conference on Computer Vision, 2021 Salient object detection (SOD) in RGB and depth images has attracted increasing research interest. Existing RGB-D SOD models usually adopt fusion strategies to learn a shared representation from RGB and depth modalities, while few methods explicitly ...
Tao Zhou +5 more
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Remembrance of things perceived: Adding thalamocortical function to artificial neural networks
Frontiers in Integrative Neuroscience, 2023 Recent research has illuminated the complexity and importance of the thalamocortical system but it has been difficult to identify what computational functions it performs.
Gerald E. Loeb
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UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders [PDF]
Computer Vision and Pattern Recognition, 2020 In this paper, we propose the first framework (UCNet) to employ uncertainty for RGB-D saliency detection by learning from the data labeling process. Existing RGB-D saliency detection methods treat the saliency detection task as a point estimation problem,
Jing Zhang +6 more
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