AIMC Topic: 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...
Humans Fourier Analysis Algorithms Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Attention
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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...
Neural Networks, Computer Semantics Algorithms Natural Language Processing Humans Attention
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A Generalized Attention Mechanism to Enhance the Accuracy Performance of Neural Networks.

International journal of neural systems Aug 31, 2024
In many modern machine learning (ML) models, attention mechanisms (AMs) play a crucial role in processing data and identifying significant parts of the inputs, whether these are text or images. This selective focus enables subsequent stages of the mo...
Machine Learning Attention Humans Neural Networks, Computer
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Integration of multi-level semantics in PTMs with an attention model for question matching.

PloS one Aug 29, 2024
The task of question matching/retrieval focuses on determining whether two questions are semantically equivalent. It has garnered significant attention in the field of natural language processing (NLP) due to its commercial value. While neural networ...
Semantics Humans Natural Language Processing Neural Networks, Computer Attention
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Inter-participant transfer learning with attention based domain adversarial training for P300 detection.

Neural networks : the official journal of the International Neural Network Society Aug 22, 2024
A Brain-computer interface (BCI) system establishes a novel communication channel between the human brain and a computer. Most event related potential-based BCI applications make use of decoding models, which requires training. This training process ...
Deep Learning Humans Electroencephalography Brain-Computer Interfaces Neural Networks, Computer Attention Event-Related Potentials, P300
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Attention-based stackable graph convolutional network for multi-view learning.

Neural networks : the official journal of the International Neural Network Society Aug 22, 2024
In multi-view learning, graph-based methods like Graph Convolutional Network (GCN) are extensively researched due to effective graph processing capabilities. However, most GCN-based methods often require complex preliminary operations such as sparsif...
Humans Neural Networks, Computer Deep Learning Attention Algorithms
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DiagSWin: A multi-scale vision transformer with diagonal-shaped windows for object detection and segmentation.

Neural networks : the official journal of the International Neural Network Society Aug 22, 2024
Recently, Vision Transformer and its variants have demonstrated remarkable performance on various computer vision tasks, thanks to its competence in capturing global visual dependencies through self-attention. However, global self-attention suffers f...
Algorithms Attention Visual Perception Humans Neural Networks, Computer
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SFT-SGAT: A semi-supervised fine-tuning self-supervised graph attention network for emotion recognition and consciousness detection.

Neural networks : the official journal of the International Neural Network Society Aug 22, 2024
Emotional recognition is highly important in the field of brain-computer interfaces (BCIs). However, due to the individual variability in electroencephalogram (EEG) signals and the challenges in obtaining accurate emotional labels, traditional method...
Female Adult Male Humans Neural Networks, Computer Consciousness Brain-Computer Interfaces Supervised Machine Learning Emotions Attention Electroencephalography
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Infants' psychophysiological responses to eye contact with a human and with a humanoid robot.

Biological psychology Aug 17, 2024
Eye contact with a human and with a humanoid robot elicits attention- and affect-related psychophysiological responses. However, these responses have mostly been studied in adults, leaving their developmental origin poorly understood. In this study, ...
Female Male Electromyography Humans Attention Heart Rate Infant Galvanic Skin Response Photic Stimulation Fixation, Ocular Robotics Arousal Facial Muscles
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Subject-independent auditory spatial attention detection based on brain topology modeling and feature distribution alignment.

Hearing research Aug 14, 2024
Auditory spatial attention detection (ASAD) seeks to determine which speaker in a surround sound field a listener is focusing on based on the one's brain biosignals. Although existing studies have achieved ASAD from a single-trial electroencephalogra...
Sound Localization Auditory Perception Auditory Pathways Brain Waves Humans Attention Models, Neurological Acoustic Stimulation Neural Networks, Computer Electroencephalography Brain Signal Processing, Computer-Assisted
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