AIMC Topic: Attention

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Yoga Pose Estimation and Feedback Generation Using Deep Learning.

Computational intelligence and neuroscience Mar 24, 2022
Yoga is a 5000-year-old practice developed in ancient India by the Indus-Sarasvati civilization. The word yoga means deep association and union of mind with the body. It is used to keep both mind and body in equilibration in all flip-flops of life by...
Meditation Deep Learning Yoga Attention Humans Feedback
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TSGB: Target-Selective Gradient Backprop for Probing CNN Visual Saliency.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Mar 21, 2022
The explanation for deep neural networks has drawn extensive attention in the deep learning community over the past few years. In this work, we study the visual saliency, a.k.a. visual explanation, to interpret convolutional neural networks. Compared...
Neural Networks, Computer Attention Semantics
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Attention Module Magnetic Flux Leakage Linked Deep Residual Network for Pipeline In-Line Inspection.

Sensors (Basel, Switzerland) Mar 14, 2022
Pipeline operational safety is the foundation of the pipeline industry. Inspection and evaluation of defects is an important means of ensuring the safe operation of pipelines. In-line inspection of Magnetic Flux Leakage (MFL) can be used to identify ...
Image Processing, Computer-Assisted Attention Magnetic Phenomena Neural Networks, Computer
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No-Reference Video Quality Assessment Using Multi-Pooled, Saliency Weighted Deep Features and Decision Fusion.

Sensors (Basel, Switzerland) Mar 12, 2022
With the constantly growing popularity of video-based services and applications, no-reference video quality assessment (NR-VQA) has become a very hot research topic. Over the years, many different approaches have been introduced in the literature to ...
Neural Networks, Computer Databases, Factual Attention
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Augmented Graph Neural Network with hierarchical global-based residual connections.

Neural networks : the official journal of the International Neural Network Society Mar 10, 2022
Graph Neural Networks (GNNs) are powerful architectures for learning on graphs. They are efficient for predicting nodes, links and graphs properties. Standard GNN variants follow a message passing schema to update nodes representations using informat...
Learning Attention Computational Biology Neural Networks, Computer Algorithms
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Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet.

IEEE transactions on pattern analysis and machine intelligence Mar 4, 2022
Adversarial attacks on deep neural networks (DNNs) have been found for several years. However, the existing adversarial attacks have high success rates only when the information of the victim DNN is well-known or could be estimated by the structure s...
Algorithms Attention Semantics Neural Networks, Computer
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E2DR: A Deep Learning Ensemble-Based Driver Distraction Detection with Recommendations Model.

Sensors (Basel, Switzerland) Feb 26, 2022
The increasing number of car accidents is a significant issue in current transportation systems. According to the World Health Organization (WHO), road accidents are the eighth highest top cause of death around the world. More than 80% of road accide...
Automobile Driving Accidents, Traffic Distracted Driving Attention Deep Learning
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Cross-institutional outcome prediction for head and neck cancer patients using self-attention neural networks.

Scientific reports Feb 24, 2022
In radiation oncology, predicting patient risk stratification allows specialization of therapy intensification as well as selecting between systemic and regional treatments, all of which helps to improve patient outcome and quality of life. Deep lear...
Diagnosis, Computer-Assisted Deep Learning Middle Aged Quality of Life Positron Emission Tomography Computed Tomography Neoplasm Recurrence, Local Image Processing, Computer-Assisted Head and Neck Neoplasms Aged, 80 and over Adult Attention Neural Networks, Computer Biomarkers, Tumor Carcinoma, Squamous Cell Prognosis Male Humans Aged Retrospective Studies Female
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Parallax attention stereo matching network based on the improved group-wise correlation stereo network.

PloS one Feb 9, 2022
Recent stereo matching methods, especially end-to-end deep stereo matching networks, have achieved remarkable performance in the fields of autonomous driving and depth sensing. However, state-of-the-art stereo algorithms, even with the deep neural ne...
Attention Humans Cues Imaging, Three-Dimensional Neural Networks, Computer Datasets as Topic Vision Disparity Machine Learning Image Processing, Computer-Assisted Algorithms Visual Perception
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Learning Enhanced Feature Responses for Visual Object Tracking.

Computational intelligence and neuroscience Feb 8, 2022
Visual object tracking is an important topic in computer vision, which has successfully utilized pretrained convolutional neural networks, such as VGG and ResNet. However, the features extracted by these pretrained models are high dimensional, and th...
Algorithms Learning Attention Neural Networks, Computer Psychomotor Performance
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