AIMC Topic: Attention

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Visual search and real-image similarity: An empirical assessment through the lens of deep learning.

Psychonomic bulletin & review Sep 26, 2024
The ability to predict how efficiently a person finds an object in the environment is a crucial goal of attention research. Central to this issue are the similarity principles initially proposed by Duncan and Humphreys, which outline how the similari...
Young Adult Deep Learning Adult Attention Male Humans Pattern Recognition, Visual Neural Networks, Computer Female
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Early diagnosis of Alzheimer's Disease based on multi-attention mechanism.

PloS one Sep 24, 2024
Alzheimer's Disease is a neurodegenerative disorder, and one of its common and prominent early symptoms is language impairment. Therefore, early diagnosis of Alzheimer's Disease through speech and text information is of significant importance. Howeve...
Early Diagnosis Algorithms Humans Alzheimer Disease Neural Networks, Computer Attention
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OxcarNet: sinc convolutional network with temporal and channel attention for prediction of oxcarbazepine monotherapy responses in patients with newly diagnosed epilepsy.

Journal of neural engineering Sep 19, 2024
Monotherapy with antiepileptic drugs (AEDs) is the preferred strategy for the initial treatment of epilepsy. However, an inadequate response to the initially prescribed AED is a significant indicator of a poor long-term prognosis, emphasizing the imp...
Humans Attention Oxcarbazepine Male Electroencephalography Female Middle Aged Young Adult Epilepsy Treatment Outcome Adult Anticonvulsants Neural Networks, Computer Retrospective Studies
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An attentional mechanism model for segmenting multiple lesion regions in the diabetic retina.

Scientific reports Sep 12, 2024
Diabetic retinopathy (DR), a leading cause of blindness in diabetic patients, necessitates the precise segmentation of lesions for the effective grading of lesions. DR multi-lesion segmentation faces the main concerns as follows. On the one hand, ret...
Humans Diabetic Retinopathy Retina Attention Algorithms Deep Learning Image Processing, Computer-Assisted
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Boosting cross-modal retrieval in remote sensing via a novel unified attention network.

Neural networks : the official journal of the International Neural Network Society Sep 11, 2024
With the rapid advent and abundance of remote sensing data in different modalities, cross-modal retrieval tasks have gained importance in the research community. Cross-modal retrieval belongs to the research paradigm in which the query is of one moda...
Attention Information Storage and Retrieval Algorithms Image Processing, Computer-Assisted Remote Sensing Technology Humans Neural Networks, Computer
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Exploring refined dual visual features cross-combination for image captioning.

Neural networks : the official journal of the International Neural Network Society Sep 7, 2024
For current image caption tasks used to encode region features and grid features Transformer-based encoders have become commonplace, because of their multi-head self-attention mechanism, the encoder can better capture the relationship between differe...
Visual Perception Image Processing, Computer-Assisted Attention Humans Neural Networks, Computer Algorithms
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ABR-Attention: An Attention-Based Model for Precisely Localizing Auditory Brainstem Response.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 5, 2024
Auditory Brainstem Response (ABR) is an evoked potential in the brainstem's neural centers in response to sound stimuli. Clinically, characteristic waves, especially Wave V latency, extracted from ABR can objectively indicate auditory loss and diagno...
Adult Male Deep Learning Reproducibility of Results Acoustic Stimulation Humans Young Adult Evoked Potentials, Auditory, Brain Stem Neural Networks, Computer Electroencephalography Algorithms Reaction Time Female Attention
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A developmental model of audio-visual attention (MAVA) for bimodal language learning in infants and robots.

Scientific reports Sep 3, 2024
A social individual needs to effectively manage the amount of complex information in his or her environment relative to his or her own purpose to obtain relevant information. This paper presents a neural architecture aiming to reproduce attention mec...
Humans Language Learning Visual Perception Infant Language Development Robotics Auditory Perception Attention
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GlobalSR: Global context network for single image super-resolution via deformable convolution attention and fast Fourier convolution.

Neural networks : the official journal of the International Neural Network Society Aug 31, 2024
Vision Transformer have achieved impressive performance in image super-resolution. However, they suffer from low inference speed mainly because of the quadratic complexity of multi-head self-attention (MHSA), which is the key to learning long-range d...
Fourier Analysis Humans Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Attention Algorithms
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DualAttlog: Context aware dual attention networks for log-based anomaly detection.

Neural networks : the official journal of the International Neural Network Society Aug 31, 2024
Most existing log-driven anomaly detection methods assume that logs are static and unchanged, which is often impractical. To address this, we propose a log anomaly detection model called DualAttlog. This model includes word-level and sequence-level s...
Humans Neural Networks, Computer Algorithms Natural Language Processing Attention Semantics
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