Results 41 to 50 of about 8,059,355 (318)
Developing a Visual Attention Assessment for Children at School Entry
Frontiers in Psychology, 2018 Whereas young children’s visual attention has been explored in a number of previous studies, so far it has not been investigated by an assessment based on Bundesen’s Theory of Visual Attention (TVA).
Tanja Prieler +2 more
doaj +1 more source
A computer vision model for visual-object-based attention and eye movements [PDF]
, 2008 This is the post-print version of the final paper published in Computer Vision and Image Understanding. The published article is available from the link below.
Backer +30 more
core +2 more sources
Learning Unsupervised Video Object Segmentation Through Visual Attention
Computer Vision and Pattern Recognition, 2019 This paper conducts a systematic study on the role of visual attention in Unsupervised Video Object Segmentation (UVOS) tasks. By elaborately annotating three popular video segmentation datasets (DAVIS, Youtube-Objects and SegTrack V2) with dynamic eye ...
Wenguan Wang +6 more
semanticscholar +1 more source
Self-reflection Orients Visual Attention Downward
Frontiers in Psychology, 2017 Previous research has demonstrated abstract concepts associated with spatial location (e.g., God in the Heavens) could direct visual attention upward or downward, because thinking about the abstract concepts activates the corresponding vertical ...
Yi Liu, Yi Liu, Yu Tong, Hong Li
doaj +1 more source
Mental fatigue affects visual selective attention. [PDF]
PLoS ONE, 2012 Mental fatigue is a form of fatigue, induced by continuous task performance. Mentally fatigued people often report having a hard time keeping their attention focussed and being easily distracted.
Léon G Faber +2 more
doaj +1 more source
Deep Modular Co-Attention Networks for Visual Question Answering [PDF]
Computer Vision and Pattern Recognition, 2019 Visual Question Answering (VQA) requires a fine-grained and simultaneous understanding of both the visual content of images and the textual content of questions.
Zhou Yu +4 more
semanticscholar +1 more source
Visual attention during spatial language comprehension. [PDF]
PLoS ONE, 2015 Spatial terms such as "above", "in front of", and "on the left of" are all essential for describing the location of one object relative to another object in everyday communication.
Michele Burigo, Pia Knoeferle
doaj +1 more source
Visual Attention-Driven Hyperspectral Image Classification
IEEE Transactions on Geoscience and Remote Sensing, 2019 Deep neural networks (DNNs), including convolutional neural networks (CNNs) and residual networks (ResNets) models, are able to learn abstract representations from the input data by considering a deep hierarchy of layers that perform advanced feature ...
J. Haut +4 more
semanticscholar +1 more source
Race Guides Attention in Visual Search. [PDF]
PLoS ONE, 2016 It is known that faces are rapidly and even unconsciously categorized into social groups (black vs. white, male vs. female). Here, I test whether preferences for specific social groups guide attention, using a visual search paradigm.
Marte Otten
doaj +1 more source
Attention Allocation Aid for Visual Search
, 2017 This paper outlines the development and testing of a novel, feedback-enabled attention allocation aid (AAAD), which uses real-time physiological data to improve human performance in a realistic sequential visual search task.
Alexander Kate +8 more
core +1 more source