Attention mechanisms in computer vision: A survey

MH Guo, TX Xu, JJ Liu, ZN Liu, PT Jiang, TJ Mu… - Computational visual …, 2022 - Springer
Humans can naturally and effectively find salient regions in complex scenes. Motivated by
this observation, attention mechanisms were introduced into computer vision with the aim of …

[HTML][HTML] Deep learning attention mechanism in medical image analysis: Basics and beyonds

X Li, M Li, P Yan, G Li, Y Jiang, H Luo… - International Journal of …, 2023 - sciltp.com
With the improvement of hardware computing power and the development of deep learning
algorithms, a revolution of" artificial intelligence (AI)+ medical image" is taking place …

[HTML][HTML] Attention in psychology, neuroscience, and machine learning

GW Lindsay - Frontiers in computational neuroscience, 2020 - frontiersin.org
Attention is the important ability to flexibly control limited computational resources. It has
been studied in conjunction with many other topics in neuroscience and psychology …

Accelerating eye movement research via accurate and affordable smartphone eye tracking

N Valliappan, N Dai, E Steinberg, J He… - Nature …, 2020 - nature.com
Eye tracking has been widely used for decades in vision research, language and usability.
However, most prior research has focused on large desktop displays using specialized eye …

What do we mean by prediction in language comprehension?

GR Kuperberg, TF Jaeger - Language, cognition and neuroscience, 2016 - Taylor & Francis
We consider several key aspects of prediction in language comprehension: its
computational nature, the representational level (s) at which we predict, whether we use …

Social eye gaze in human-robot interaction: a review

H Admoni, B Scassellati - Journal of Human-Robot Interaction, 2017 - dl.acm.org
This article reviews the state of the art in social eye gaze for human-robot interaction (HRI). It
establishes three categories of gaze research in HRI, defined by differences in goals and …

Recurrent models of visual attention

V Mnih, N Heess, A Graves - Advances in neural …, 2014 - proceedings.neurips.cc
Applying convolutional neural networks to large images is computationally expensive
because the amount of computation scales linearly with the number of image pixels. We …

[HTML][HTML] Gaze and the control of foot placement when walking in natural terrain

JS Matthis, JL Yates, MM Hayhoe - Current Biology, 2018 - cell.com
Human locomotion through natural environments requires precise coordination between the
biomechanics of the bipedal gait cycle and the eye movements that gather the information …

Salient object detection: A survey

A Borji, MM Cheng, Q Hou, H Jiang, J Li - Computational visual media, 2019 - Springer
Detecting and segmenting salient objects from natural scenes, often referred to as salient
object detection, has attracted great interest in computer vision. While many models have …

[HTML][HTML] Advancing drug discovery with deep attention neural networks

A Lavecchia - Drug Discovery Today, 2024 - Elsevier
In the dynamic field of drug discovery, deep attention neural networks are revolutionizing our
approach to complex data. This review explores the attention mechanism and its extended …