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Paying attention to attention: psychological realism and the attention economy
In recent years, philosophers have identified a number of moral and psychological harms associated with the attention economy (Aylsworth and Castro,...
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Attention and self-attention in random forests
New models of random forests jointly using the attention and self-attention mechanisms are proposed for solving the regression problem. The models...
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Conv-Attention: A Low Computation Attention Calculation Method for Swin Transformer
Transformer networks have excellent performance in various different vision tasks, especially object detection. However, in practical applications,...
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Layer-Wise External Attention by Well-Localized Attention Map for Efficient Deep Anomaly Detection
The external attention mechanism offers a promising approach to enhance image anomaly detection (Hayakawa et al., in: IMPROVE, pp. 100-–110, 2023)....
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Effects of goal-setting on sustained attention and attention lapses
In three experiments, we examined the effects of goal-setting on sustained attention and attention lapses. We measured both behavioral task...
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Multi-granularity attention in attention for person re-identification in aerial images
In marrying with Unmanned Aerial Vehicles ( UAV s), the person re-identification ( re-ID ) techniques are further strengthened in terms of mobility....
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Fault-attri-attention: a method for fault identification based on seismic attributes attention
The imaging principle of seismic images is different from natural images, which results in very limited resolution, complex reflection features and...
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TCN-attention-HAR: human activity recognition based on attention mechanism time convolutional network
Wearable sensors are widely used in medical applications and human–computer interaction because of their portability and powerful privacy. Human...
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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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Hydra Attention: Efficient Attention with Many Heads
While transformers have begun to dominate many tasks in vision, applying them to large images is still computationally difficult. A large reason for...
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Paying attention to attention: a program evaluation of faculty-delivered mindfulness-based attention training to optimize wellness and professionalism in medical students
BackgroundAs physician distress rises, medical schools must provide programs to counter such distress at the earliest stages of training. Mindfulness...
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Single image super-resolution via global aware external attention and multi-scale residual channel attention network
Recently, deep convolutional neural networks (CNNs) have shown significant advantages in improving the performance of single image super-resolution...
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Learning to Pay Attention by Paying Attention
Deep learning approaches can learn the map** function from the MRI to the CT domain and thus can be used to synthesize pseudo-CTs. However, such...
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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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Attention Deficit
Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by persistent attention deficit, hyperactivity, and...
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Attention and Distraction
Attention is a precious mental resource. Every day we are bombarded with information, decisions, distractions, and things we need to remember. What...
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TSANet: multibranch attention deep neural network for classifying tactile selective attention in brain-computer interfaces
Brain-computer interfaces (BCIs) enable communication between the brain and a computer and electroencephalography (EEG) has been widely used to...
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Attention-guided Erasing
The assessment of breast density is crucial in the context of breast cancer screening, especially in populations with a higher percentage of dense...
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Attention in redundancy masking
Peripheral vision is limited due to several factors, such as visual resolution, crowding, and attention. When attention is not directed towards a...
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Additive representation under idempotent attention
This paper explores a scenario where a decision maker evaluates bundles by adding up the utility of the options that attract her attention. We...
