AIMC Topic: Attention

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Self-attention learning network for face super-resolution.

Neural networks : the official journal of the International Neural Network Society Jan 14, 2023
Existing face super-resolution methods depend on deep convolutional networks (DCN) to recover high-quality reconstructed images. They either acquire information in a single space by designing complex models for direct reconstruction, or employ additi...
Learning Image Processing, Computer-Assisted Attention Deep Learning
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Altmetric Analysis of the Online Attention Directed to Artificial Intelligence Literature in Ophthalmology.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) Jan 2, 2023
Altmetrics Attention Humans Ophthalmology Artificial Intelligence
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Database-based machine learning in sepsis deserves attention.

Intensive care medicine Jan 2, 2023
Humans Sepsis Algorithms Attention Machine Learning
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Ensemble deep learning enhanced with self-attention for predicting immunotherapeutic responses to cancers.

Frontiers in immunology Dec 1, 2022
INTRODUCTION: Despite the many benefits immunotherapy has brought to patients with different cancers, its clinical applications and improvements are still hindered by drug resistance. Fostering a reliable approach to identifying sufferers who are sen...
Deep Learning Neural Networks, Computer Humans Melanoma Attention Immunotherapy
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Toward Region-Aware Attention Learning for Scene Graph Generation.

IEEE transactions on neural networks and learning systems Nov 30, 2022
Scene graph generation (SGGen) is a challenging task due to a complex visual context of an image. Intuitively, the human visual system can volitionally focus on attended regions by salient stimuli associated with visual cues. For example, to infer th...
Attention Horses Male Neural Networks, Computer Animals Learning Humans
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Position-Aware Participation-Contributed Temporal Dynamic Model for Group Activity Recognition.

IEEE transactions on neural networks and learning systems Nov 30, 2022
Group activity recognition (GAR) aiming at understanding the behavior of a group of people in a video clip has received increasing attention recently. Nevertheless, most of the existing solutions ignore that not all the persons contribute to the grou...
Recognition, Psychology Motion Perception Humans Attention Neural Networks, Computer
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A Survey of Modulation Classification Using Deep Learning: Signal Representation and Data Preprocessing.

IEEE transactions on neural networks and learning systems Nov 30, 2022
Modulation classification is one of the key tasks for communications systems monitoring, management, and control for addressing technical issues, including spectrum awareness, adaptive transmissions, and interference avoidance. Recently, deep learnin...
Neural Networks, Computer Attention Deep Learning Algorithms
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Cardiovascular magnetic resonance images with susceptibility artifacts: artificial intelligence with spatial-attention for ventricular volumes and mass assessment.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Nov 28, 2022
BACKGROUND: Segmentation of cardiovascular magnetic resonance (CMR) images is an essential step for evaluating dimensional and functional ventricular parameters as ejection fraction (EF) but may be limited by artifacts, which represent the major chal...
Artificial Intelligence Artifacts Humans Retrospective Studies Magnetic Resonance Imaging Attention Predictive Value of Tests
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Deep Temporal Model-Based Identity-Aware Hand Detection for Space Human-Robot Interaction.

IEEE transactions on cybernetics Nov 18, 2022
Hand detection is a crucial technology for space human-robot interaction (SHRI), and the awareness of hand identities is particularly critical. However, most advanced works have three limitations: 1) the low detection accuracy of small-size objects; ...
Neural Networks, Computer Humans Attention Semantics Robotics
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Continual learning with attentive recurrent neural networks for temporal data classification.

Neural networks : the official journal of the International Neural Network Society Nov 11, 2022
Continual learning is an emerging research branch of deep learning, which aims to learn a model for a series of tasks continually without forgetting knowledge obtained from previous tasks. Despite receiving a lot of attention in the research communit...
Rotation Data Mining Neural Networks, Computer Attention
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