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Lightweight Human Pose Estimation Based on Self-Attention Mechanism
To address the problems of a large number of parameters, high computational complexity and long detection time in many current human pose estimation...
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LMSA: Low-Relation Multi-head Self-attention Mechanism in Visual Transformer
The Transformer backbone network with self-attention mechanism as the core has achieved great success in the field of natural language processing and...
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Bridge Structural Damage Identification Based on Parallel Multi-head Self-attention Mechanism and Bidirectional Long and Short-term Memory Network
To address the health monitoring challenges of bridge structures and identify suitable damage features, this paper initially denoises the input data...
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A static video summarization approach via block-based self-motivated visual attention scoring mechanism
Since automatic visual semantic comprehension of video content is currently infeasible and unintelligent, key frames extracted from videos are...
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Detecting Spam SMS Using Self Attention Mechanism
Short Message Service (SMS) is swiftly emerging as the most secure method of communication due to its extensive coverage, dependability, and power...
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Self-attention Mechanism Fusion for Recommendation in Heterogeneous Information Network
In recent years, lots of recommendation methods based on heterogeneous information network has been proposed. However, traditional heterogeneous...
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Spatiotemporal Self-Attention Mechanism Driven by 3D Pose to Guide RGB Cues for Daily Living Human Activity Recognition
The field of human activity recognition is evolving at a quick pace. Indeed, over the last two decades, several approaches have been proposed to...
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Enhancing IoT-Based Smart Home Security Through a Combination of Deep Learning and Self-Attention Mechanism
Deep learning and the Internet of Things (IoT) are rapidly advancing technologies with wide-ranging applications, notably in areas such as face...
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Application Research of YOLOv3 Incorporating Self-attention Mechanism
Improving the accuracy of target recognition is always the focus of machine learning research. YOLOv3 multi-scale detection accelerates the speed...
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Hybrid self-attention NEAT: a novel evolutionary self-attention approach to improve the NEAT algorithm in high dimensional inputs
This article presents a “Hybrid Self-Attention NEAT” method to improve the original NeuroEvolution of Augmenting Topologies (NEAT) algorithm in...
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Reinforcement-Tracking: An End-to-End Trajectory Tracking Method Based on Self-Attention Mechanism
As a bridge between planners and actuators, trajectory tracking is a critical and essential part of robot navigation, autonomous driving and some...
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VMD and self-attention mechanism-based Bi-LSTM model for fault detection of optical fiber composite submarine cables
As the main electrical equipment of offshore power grids, optical fiber composite submarine cables undertake the task of power transmission and data...
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A New Pneumonia Detection Model Based on Transformer with Improved Self-Attention Mechanism
Clinical diagnosis based on computed tomography (CT) could be used, as part of diagnosis standard of COVID-19 pneumonia. Addressing the problem that...
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Multi-modal Scene Recognition Based on Global Self-attention Mechanism
With the rapid development of deep neural network and the emergence of multi-modal acquisition devices, multi-modal scene recognition based on deep...
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Sag-flownet: self-attention generative network for airfoil flow field prediction
Flow field prediction is essential for airfoil design. It is a time-consuming task to obtain the flow fields around an airfoil. Convolution neural...
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Exploration-based model learning with self-attention for risk-sensitive robot control
Model-based reinforcement learning for robot control offers the advantages of overcoming concerns on data collection and iterative processes for...
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CovidViT: a novel neural network with self-attention mechanism to detect Covid-19 through X-ray images
Since the emergence of the novel coronavirus in December 2019, it has rapidly swept across the globe, with a huge impact on daily life, public health...
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Identifying Drug–Target Interactions Through a Combined Graph Attention Mechanism and Self-attention Sequence Embedding Model
Identifying drug–target interactions (DTIs) is a critical part of the drug discovery and drug development processes. Although wet lab-based methods...
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An Anomaly Detection Algorithm for Logs Based on Self-attention Mechanism and BiGRU Model
This paper proposes an anomaly detection algorithm for logs based on self-attention mechanism and BiGRU model to deal with the multiple...
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A framework for facial expression recognition using deep self-attention network
Facial expression recognition (FER) is a widely used technique for emotion recognition. In recent years, numerous deep convolutional neural network...
