HAF-Net: A Fully Convolutional Segmentation Network Based on Hybrid Attention for Skin Lesion Segmentation
Sign Up to like & getrecommendations! Published in 2023 at "Integrated Ferroelectrics"
DOI: 10.1080/10584587.2023.2191544
Abstract: Abstract Skin cancer has become one of the leading causes of life threatening, and accurate segmentation of lesion regions from dermoscopic images is an effective aid to diagnosis. The lack of obvious lesion features and… read more here.
Keywords: hybrid attention; lesion; segmentation; skin lesion ... See more keywords
Detecting Hypernymy Relations Between Medical Compound Entities Using a Hybrid-Attention Based Bi-GRU-CapsNet Model
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2957827
Abstract: Named entities composed of multiple continuous words frequently occur in domain-specific knowledge graphs. In general, these named entities are composable and extensible, such as names of symptoms and diseases in the medical domain. Unlike the… read more here.
Keywords: compound entities; hybrid attention; capsnet; hypernymy relations ... See more keywords
Dual-Path Hybrid Attention Network for Monaural Speech Separation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3193245
Abstract: Recent advances in the time-domain speech separation methods, particularly those specialized in using attention mechanisms to model sequences, have significantly improved speech separation performance. In this paper, we address monaural (one microphone) speaker separation, mainly… read more here.
Keywords: hybrid attention; dual path; path hybrid; attention ... See more keywords
End-to-End Multilevel Hybrid Attention Framework for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3126125
Abstract: HSI has abundant spectral–spatial information. Using this information to improve the accuracy of HSI classification is a hot issue in the industry. This letter proposes an end-to-end multilevel hybrid attention network (DMCN). It is composed… read more here.
Keywords: hybrid attention; end end; classification; attention ... See more keywords
Hybrid Attention Compression Network With Light Graph Attention Module for Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3275948
Abstract: In recent years, the impressive feature representation capabilities of deep learning have opened up new possibilities for image compression. Most of the existing learning-based image compression techniques rely on convolutional neural networks (CNNs) to obtain… read more here.
Keywords: hybrid attention; network; remote sensing; attention module ... See more keywords
Mutiscale Hybrid Attention Transformer for Remote Sensing Image Pansharpening
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3239013
Abstract: Pansharpening methods play a crucial role for remote sensing image processing. The existing pansharpening methods, in general, have the problems of spectral distortion and lack of spatial detail information. To mitigate these problems, we propose… read more here.
Keywords: hybrid attention; remote sensing; feature; attention ... See more keywords
Aircraft Image Recognition Network Based on Hybrid Attention Mechanism
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/4189500
Abstract: With the deepening of deep learning research, progress has been made in artificial intelligence. In the process of aircraft classification, the precision rate of aircraft picture recognition based on traditional methods is low due to… read more here.
Keywords: recognition; network; precision rate; aircraft ... See more keywords
HADLN: Hybrid Attention-Based Deep Learning Network for Automated Arrhythmia Classification
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Physiology"
DOI: 10.3389/fphys.2021.683025
Abstract: In recent years, with the development of artificial intelligence, deep learning model has achieved initial success in ECG data analysis, especially the detection of atrial fibrillation. In order to solve the problems of ignoring the… read more here.
Keywords: classification; network; hybrid attention; deep learning ... See more keywords