AIMC Topic: Attention

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Workshop Safety Helmet Wearing Detection Model Based on SCM-YOLO.

Sensors (Basel, Switzerland) Sep 5, 2022
In order to overcome the problems of object detection in complex scenes based on the YOLOv4-tiny algorithm, such as insufficient feature extraction, low accuracy, and low recall rate, an improved YOLOv4-tiny safety helmet-wearing detection algorithm ...
Neural Networks, Computer Algorithms Cluster Analysis Attention Head Protective Devices
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COVID-19 diagnosis via chest X-ray image classification based on multiscale class residual attention.

Computers in biology and medicine Sep 1, 2022
Aiming at detecting COVID-19 effectively, a multiscale class residual attention (MCRA) network is proposed via chest X-ray (CXR) image classification. First, to overcome the data shortage and improve the robustness of our network, a pixel-level image...
Humans COVID-19 Disease Progression Deep Learning Attention COVID-19 Testing X-Rays
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A Robust Visual Tracking Method Based on Reconstruction Patch Transformer Tracking.

Sensors (Basel, Switzerland) Aug 31, 2022
Recently, the transformer model has progressed from the field of visual classification to target tracking. Its primary method replaces the cross-correlation operation in the Siamese tracker. The backbone of the network is still a convolutional neural...
Neural Networks, Computer Attention Electric Power Supplies
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Comparison of Eye and Face Features on Drowsiness Analysis.

Sensors (Basel, Switzerland) Aug 30, 2022
Drowsiness is one of the leading causes of traffic accidents. For those who operate large machinery or motor vehicles, incidents due to lack of sleep can cause property damage and sometimes lead to grave consequences of injuries and fatality. This st...
Humans Neural Networks, Computer Cluster Analysis Accidents, Traffic Attention Sleep
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HADCNet: Automatic segmentation of COVID-19 infection based on a hybrid attention dense connected network with dilated convolution.

Computers in biology and medicine Aug 20, 2022
the automatic segmentation of lung infections in CT slices provides a rapid and effective strategy for diagnosing, treating, and assessing COVID-19 cases. However, the segmentation of the infected areas presents several difficulties, including high i...
Humans COVID-19 Deep Learning Image Processing, Computer-Assisted Attention
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Tooth CT Image Segmentation Method Based on the U-Net Network and Attention Module.

Computational and mathematical methods in medicine Aug 19, 2022
Traditional image segmentation methods often encounter problems of low segmentation accuracy and being time-consuming when processing complex tooth Computed Tomography (CT) images. This paper proposes an improved segmentation method for tooth CT imag...
Humans Neural Networks, Computer Algorithms Tomography, X-Ray Computed Image Processing, Computer-Assisted Attention
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IMSE: interaction information attention and molecular structure based drug drug interaction extraction.

BMC bioinformatics Aug 14, 2022
BACKGROUND: Extraction of drug drug interactions from biomedical literature and other textual data is an important component to monitor drug-safety and this has attracted attention of many researchers in healthcare. Existing works are more pivoted ar...
Neural Networks, Computer Molecular Structure Drug Interactions Data Mining Attention
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Multimodal Sentiment Analysis Based on Cross-Modal Attention and Gated Cyclic Hierarchical Fusion Networks.

Computational intelligence and neuroscience Aug 9, 2022
Multimodal sentiment analysis has been an active subfield in natural language processing. This makes multimodal sentiment tasks challenging due to the use of different sources for predicting a speaker's sentiment. Previous research has focused on ext...
Natural Language Processing Attention Sentiment Analysis
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Magnetic Tile Surface Defect Detection Methodology Based on Self-Attention and Self-Supervised Learning.

Computational intelligence and neuroscience Aug 3, 2022
As the core component of permanent magnet motor, the magnetic tile defects seriously affect the quality of industrial motor. Automatic recognition of the surface defects of the magnetic tile is a difficult job since the patterns of the defects are co...
Neural Networks, Computer Magnetic Phenomena Supervised Machine Learning Attention
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LS-NTP: Unifying long- and short-range spatial correlations for near-surface temperature prediction.

Neural networks : the official journal of the International Neural Network Society Jul 22, 2022
The near-surface temperature prediction (NTP) is an important spatial-temporal forecast problem, which can be used to prevent temperature crises. Most of the previous approaches fail to explicitly model the long- and short-range spatial correlations ...
Neural Networks, Computer Software Temperature Attention
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