AIMC Topic: Attention

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Attentional load classification in multiple object tracking task using optimized support vector machine classifier: a step towards cognitive brain-computer interface.

Journal of medical engineering & technology Nov 26, 2021
Cognitive brain-computer interface (cBCI) is an emerging area with applications in neurorehabilitation and performance monitoring. cBCI works on the cognitive brain signal that does not require a person to pay much effort unlike the motor brain-compu...
Humans Cognition Attention Brain-Computer Interfaces Support Vector Machine Electroencephalography
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DAR-Net: Dense Attentional Residual Network for Vehicle Detection in Aerial Images.

Computational intelligence and neuroscience Nov 26, 2021
With the rapid development of deep learning and the wide usage of Unmanned Aerial Vehicles (UAVs), CNN-based algorithms of vehicle detection in aerial images have been widely studied in the past several years. As a downstream task of the general obje...
Unmanned Aerial Devices Image Processing, Computer-Assisted Neural Networks, Computer Attention Algorithms
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Classification of renal biopsy direct immunofluorescence image using multiple attention convolutional neural network.

Computer methods and programs in biomedicine Nov 21, 2021
BACKGROUND AND OBJECTIVES: Direct immunofluorescence (DIF) is an important medical evaluation tool for renal pathology. In the DIF images, the deposition appearances and locations of immunoglobulin on glomeruli involve immunological characteristics o...
Attention Fluorescent Antibody Technique, Direct Image Processing, Computer-Assisted Biopsy Neural Networks, Computer
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GourmetNet: Food Segmentation Using Multi-Scale Waterfall Features with Spatial and Channel Attention.

Sensors (Basel, Switzerland) Nov 11, 2021
We propose GourmetNet, a single-pass, end-to-end trainable network for food segmentation that achieves state-of-the-art performance. Food segmentation is an important problem as the first step for nutrition monitoring, food volume and calorie estimat...
Attention Food Neural Networks, Computer Image Processing, Computer-Assisted
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Multi-level attention pooling for graph neural networks: Unifying graph representations with multiple localities.

Neural networks : the official journal of the International Neural Network Society Nov 10, 2021
Graph neural networks (GNNs) have been widely used to learn vector representation of graph-structured data and achieved better task performance than conventional methods. The foundation of GNNs is the message passing procedure, which propagates the i...
Neural Networks, Computer Learning Attention
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Environmental sound classification using temporal-frequency attention based convolutional neural network.

Scientific reports Nov 3, 2021
Environmental sound classification is one of the important issues in the audio recognition field. Compared with structured sounds such as speech and music, the time-frequency structure of environmental sounds is more complicated. In order to learn ti...
Acoustics Algorithms Semantics Sound Music Humans Models, Statistical Research Design Speech Neural Networks, Computer Noise Attention Recognition, Psychology Models, Theoretical Learning Motivation
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Multitask Interactive Attention Learning Model Based on Hand Images for Assisting Chinese Medicine in Predicting Myocardial Infarction.

Computational and mathematical methods in medicine Oct 26, 2021
Acute myocardial infarction (AMI) is one of the most serious and dangerous cardiovascular diseases. In recent years, the number of patients around the world has been increasing significantly, among which people under the age of 45 have become the hig...
Medicine, Chinese Traditional Hand Deep Learning Computational Biology Image Interpretation, Computer-Assisted Myocardial Infarction Attention Databases, Factual Humans Diagnosis, Computer-Assisted
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Weed Classification Using Explainable Multi-Resolution Slot Attention.

Sensors (Basel, Switzerland) Oct 9, 2021
In agriculture, explainable deep neural networks (DNNs) can be used to pinpoint the discriminative part of weeds for an imagery classification task, albeit at a low resolution, to control the weed population. This paper proposes the use of a multi-la...
Attention Seedlings Plant Weeds Neural Networks, Computer Agriculture
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MedFuseNet: An attention-based multimodal deep learning model for visual question answering in the medical domain.

Scientific reports Oct 6, 2021
Medical images are difficult to comprehend for a person without expertise. The scarcity of medical practitioners across the globe often face the issue of physical and mental fatigue due to the high number of cases, inducing human errors during the di...
Software Algorithms Deep Learning User-Computer Interface Humans Attention Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Diagnostic Imaging
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Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features.

IEEE transactions on pattern analysis and machine intelligence Oct 1, 2021
This work presents a novel method of exploring human brain-visual representations, with a view towards replicating these processes in machines. The core idea is to learn plausible computational and biological representations by correlating human neur...
Visual Perception Humans Neural Networks, Computer Brain Attention Algorithms
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