PRAN: Progressive Residual Attention Network for Super Resolution
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3031719
Abstract: Single image super resolution (SISR) based on deep learning has made great progress in recent years. As the method continues to improve, different network structures have been proposed to better perform SR feature extraction for… read more here.
Keywords: progressive residual; super resolution; attention; residual attention ... See more keywords
A Residual-Attention Offline Handwritten Chinese Text Recognition Based on Fully Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3115606
Abstract: Offline handwritten Chinese text recognition is one of the most challenging tasks in that it involves various writing styles, complex character-touching, and large number of character categories. In this paper, we propose a residual-attention offline… read more here.
Keywords: text recognition; chinese text; residual attention; offline handwritten ... See more keywords
Identifying Bearing Faults Using Multiscale Residual Attention and Multichannel Neural Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3257101
Abstract: To solve the problem of the low signal-to-noise ratio and fault features can only be extracted from a single scale of traditional convolutional neural network (CNN) in vibration-based bearing fault diagnosis, this paper proposes a… read more here.
Keywords: neural network; residual attention; network; identifying bearing ... See more keywords
Progressive Feedback Residual Attention Network for Cardiac Magnetic Resonance Imaging Super-Resolution.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2023.3272155
Abstract: Atrial fibrillation (AF) is an increasing medical burden worldwide, and its pathological manifestations are atrial tissue remodeling and low-pressure atrial tissue fibrosis. Due to the inherent defects of medical image data acquisition systems, the acquisition… read more here.
Keywords: progressive feedback; resolution; residual attention; image ... See more keywords
RanNet: Learning Residual-Attention Structure in CNNs for Automatic Modulation Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3162422
Abstract: With the rapid emergence of advanced technologies for wireless communications, automatic modulation classification (AMC) has been deployed in the physical layer to blindly identify the modulation fashion of an incoming signal at the receiver and… read more here.
Keywords: modulation; modulation classification; residual attention; automatic modulation ... See more keywords
Residual Attention-Aided U-Net GAN and Multi-Instance Multilabel Classifier for Automatic Waveform Recognition of Overlapping LPI Radar Signals
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2022.3160978
Abstract: Automatic waveform recognition of overlapping low probability of intercept (LPI) radar signals is an important and challenging task in electronic reconnaissance of the increasingly complicated spectrum environment. In this article, an overlapping LPI waveform recognition… read more here.
Keywords: recognition; residual attention; waveform recognition; instance ... See more keywords
Multiscale Residual Attention Convolutional Neural Network for Bearing Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3196742
Abstract: Convolutional neural networks (CNNs) have demonstrated promising effectiveness in vibration-based fault diagnosis. However, the faulty characteristics are usually distributed on different scales and contaminated by noises from various sources. Therefore, it is still a challenging… read more here.
Keywords: attention; residual attention; fault diagnosis; multiscale ... See more keywords
Interpatient ECG Arrhythmia Detection by Residual Attention CNN
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/2323625
Abstract: The precise identification of arrhythmia is critical in electrocardiogram (ECG) research. Many automatic classification methods have been suggested so far. However, efficient and accurate classification is still a challenge due to the limited feature extraction… read more here.
Keywords: interpatient ecg; residual attention; ecg arrhythmia; cnn ... See more keywords
Classification of Diabetic Retinopathy Severity in Fundus Images Using the Vision Transformer and Residual Attention
Sign Up to like & getrecommendations! Published in 2023 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2023/1305583
Abstract: Diabetic retinopathy (DR) is a common retinal vascular disease, which can cause severe visual impairment. It is of great clinical significance to use fundus images for intelligent diagnosis of DR. In this paper, an intelligent… read more here.
Keywords: fundus; classification; residual attention; fundus images ... See more keywords
A Multi-Scale Residual Attention Network for Retinal Vessel Segmentation
Sign Up to like & getrecommendations! Published in 2021 at "Symmetry"
DOI: 10.3390/sym13010024
Abstract: Accurate segmentation of retinal blood vessels is a key step in the diagnosis of fundus diseases, among which cataracts, glaucoma, and diabetic retinopathy (DR) are the main diseases that cause blindness. Most segmentation methods based… read more here.
Keywords: network; segmentation; residual attention; multi scale ... See more keywords