Attention mechanisms in computer vision: A survey
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 …
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
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 …
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 …
been studied in conjunction with many other topics in neuroscience and psychology …
Accelerating eye movement research via accurate and affordable smartphone eye tracking
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 …
However, most prior research has focused on large desktop displays using specialized eye …
What do we mean by prediction in language comprehension?
We consider several key aspects of prediction in language comprehension: its
computational nature, the representational level (s) at which we predict, whether we use …
computational nature, the representational level (s) at which we predict, whether we use …
Social eye gaze in human-robot interaction: a review
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 …
establishes three categories of gaze research in HRI, defined by differences in goals and …
Recurrent models of visual attention
Applying convolutional neural networks to large images is computationally expensive
because the amount of computation scales linearly with the number of image pixels. We …
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
Human locomotion through natural environments requires precise coordination between the
biomechanics of the bipedal gait cycle and the eye movements that gather the information …
biomechanics of the bipedal gait cycle and the eye movements that gather the information …
Salient object detection: A survey
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 …
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 …
approach to complex data. This review explores the attention mechanism and its extended …