AIMC Topic: Attention

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Semantic information-based attention mapping network for few-shot knowledge graph completion.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Few-shot Knowledge Graph Completion (FKGC), an emerging technology capable of inferring new triples using only a few reference relation triples, has gained significant attention in recent years. However, existing FKGC methods primarily focus on struc...
Attention Humans Semantics Neural Networks, Computer
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CFI-Former: Efficient lane detection by multi-granularity perceptual query attention transformer.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Benefiting from the booming development of Transformer methods, the performance of lane detection tasks has been rapidly improved. However, due to the influence of inaccurate lane line shape constraints, the query sequences of existing transformer-ba...
Pattern Recognition, Automated Humans Neural Networks, Computer Algorithms Attention
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A spatial-spectral fusion convolutional transformer network with contextual multi-head self-attention for hyperspectral image classification.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Convolutional neural networks (CNNs) can effectively extract local features, while Vision Transformer excels at capturing global features. Combining these two networks to enhance the classification performance of hyperspectral images (HSI) has garner...
Neural Networks, Computer Image Processing, Computer-Assisted Humans Attention Hyperspectral Imaging
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Self-attention fusion and adaptive continual updating for multimodal federated learning with heterogeneous data.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Federated learning (FL) enables collaborative model training without direct data sharing, facilitating knowledge exchange while ensuring data privacy. Multimodal federated learning (MFL) is particularly advantageous for decentralized multimodal data,...
Federated Learning Humans Algorithms Neural Networks, Computer Attention Machine Learning
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Enhancing few-shot image classification through learnable multi-scale embedding and attention mechanisms.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
In the context of few-shot classification, the goal is to train a classifier using a limited number of samples while maintaining satisfactory performance. However, traditional metric-based methods exhibit certain limitations in achieving this objecti...
Neural Networks, Computer Machine Learning Image Processing, Computer-Assisted Attention Algorithms Humans Pattern Recognition, Automated
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Attribute-guided feature fusion network with knowledge-inspired attention mechanism for multi-source remote sensing classification.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Land use and land cover (LULC) classification is a popular research area in remote sensing. The information of single-modal data is insufficient for accurate classification, especially in complex scenes, while the complementarity of multi-modal data ...
Attention Algorithms Remote Sensing Technology Neural Networks, Computer
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CNNs improve decoding of selective attention to speech in cochlear implant users.

Journal of neural engineering Jun 10, 2025
. Understanding speech in the presence of background noise such as other speech streams is a difficult problem for people with hearing impairment, and in particular for users of cochlear implants (CIs). To improve their listening experience, auditory...
Humans Neural Networks, Computer Adult Male Middle Aged Female Aged Cochlear Implants Speech Perception Attention Acoustic Stimulation Support Vector Machine Electroencephalography
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Attention Regulation Among Sleep-Deprived Air-Force Pilots.

Journal of neuroscience research Jun 1, 2025
Short sleep duration is associated with adverse physical and mental events. However, it is quite challenging to objectively quantify its impact on human cognitive performance. Thus, we aim to examine the effects of sleep deprivation on physiological ...
Male Emotions Young Adult Adult Machine Learning Female Military Personnel Humans Attention Pilots Psychomotor Performance Sleep Deprivation
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Reconstruction of highly and extremely aberrated wavefront for ocular Shack-Hartmann sensor using multi-task Attention-UNet.

Experimental eye research Jun 1, 2025
In certain ocular conditions, such as in eyes with keratoconus or after corneal laser surgery, Higher Order Aberrations (HOAs) may be dramatically elevated. Accurately recording interpretable wavefronts in such highly aberrated eyes using Shack-Hartm...
Aberrometry Attention Corneal Wavefront Aberration Keratoconus Corneal Topography Humans Refraction, Ocular Deep Learning Cornea
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Emotion-Aware RoBERTa enhanced with emotion-specific attention and TF-IDF gating for fine-grained emotion recognition.

Scientific reports May 21, 2025
Emotion recognition in text is a fundamental task in natural language processing, underpinning applications such as sentiment analysis, mental health monitoring, and content moderation. Although transformer-based models like RoBERTa have advanced con...
Natural Language Processing Attention Humans Algorithms Emotions
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