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Visual temporal attention from perception to computation
Visual attention unfolds across space and time to prioritize a subset of incoming visual information. Distinct in key ways from spatial attention,...
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Visual attention network
While originally designed for natural language processing tasks, the self-attention mechanism has recently taken various computer vision areas by...
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Visual attention predictive model of built colonial heritage based on visual behaviour and subjective evaluation
Although physiological measurements, subjective evaluation and other methods have been applied to visual attention research, architects still lack a...
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MANet: Mixed Attention Network for Visual Explanation
Various visual explanation methods, such as CAM and Grad-CAM, have been proposed to visualize and interpret predictions made by CNNs. Recent efforts...
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Visual Attention in Joint Attention Bids: A Comparison Between Toddlers with Autism Spectrum Disorder and Typically Develo** Toddlers
Impairments in joint attention are considered core symptoms of autism spectrum disorder (ASD) and are crucial for early assessment and intervention....
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Intervention targeting different visual attention span components in Chinese children with developmental dyslexia: a study based on Bundesen’s theory of visual attention
Within the framework of the theory of visual attention (TVA), the visual attention span (VAS) deficit among individuals with developmental dyslexia...
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Visual attention and memory in professional traders
Professional traders need to process a large amount of visual information in their daily activity to judge how risky it is to trade specific...
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Memory-driven capture during focused visual attention
Attention can be captured by the presence of distractors that match the current content of working memory in the visual field. This memory-driven...
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Multimodal attention-driven visual question answering for Malayalam
Visual question answering is a challenging task that necessitates for sophisticated reasoning over the visual elements to provide an accurate answer...
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Global visual attention SPAN in different video game genres
Video games, specifically action video games, have been demonstrated to be a useful tool in improving certain visual aspects in the general...
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Learning modifies attention during bumblebee visual search
AbstractThe role of visual search during bee foraging is relatively understudied compared to the choices made by bees. As bees learn about rewards,...
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Presaccadic attention sharpens visual acuity
Visual perception is limited by spatial resolution, the ability to discriminate fine details. Spatial resolution not only declines with eccentricity...
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Masked co-attention model for audio-visual event localization
The objective of Audio-Visual Event Localization (AVEL) is to leverage audio and video cues in a combined manner to localize video segments that...
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Advanced Visual and Textual Co-context Aware Attention Network with Dependent Multimodal Fusion Block for Visual Question Answering
Visual question answering (VQA) is a multimodal task requiring a simultaneous understanding of both visual and textual content. Therefore, image and...
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Visual and auditory attention defects in children with intermittent exotropia
BackgroundPrevious studies have shown that children with intermittent exotropia (IXT) have a higher rate of psychiatric abnormalities as they grow...
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Visual attention
This Collection welcomes original research articles from the areas of Psychology and Neuroscience focusing on the cognitive and neural processes...
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GVA: guided visual attention approach for automatic image caption generation
Automated image caption generation with attention mechanisms focuses on visual features including objects, attributes, actions, and scenes of the...
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IMCN: Improved modular co-attention networks for visual question answering
Many existing Visual Question Answering (VQA) methods use traditional attention mechanisms to focus on each region of the input image and each word...
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ARDN: Attention Re-distribution Network for Visual Question Answering
The Transformer-based architecture, with its efficient parallel computation, long-range dependency modeling, and context-aware capabilities, has...
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Human Visual Attention Mechanism-Inspired Point-and-Line Stereo Visual Odometry for Environments with Uneven Distributed Features
Visual odometry is critical in visual simultaneous localization and map** for robot navigation. However, the pose estimation performance of most...
