Clinical target segmentation using a novel deep neural network: double attention Res-U-Net.
Sign Up to like & getrecommendations! Published in 2022 at "Scientific reports"
DOI: 10.1038/s41598-022-10429-z
Abstract: We introduced Double Attention Res-U-Net architecture to address medical image segmentation problem in different medical imaging system. Accurate medical image segmentation suffers from some challenges including, difficulty of different interest object modeling, presence of noise,… read more here.
Keywords: target segmentation; res net; double attention; attention ... See more keywords
Double Attention Transformer for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3248582
Abstract: Convolutional neural networks (CNNs) have become one of the most popular tools to tackle hyperspectral image (HSI) classification tasks. However, CNN suffers from the long-range dependencies problem, which may degrade the classification performance. To address… read more here.
Keywords: classification; double attention; attention; attention transformer ... See more keywords
PANDA: parallel asymmetric network with double attention for cloud and its shadow detection
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Applied Remote Sensing"
DOI: 10.1117/1.jrs.15.046512
Abstract: Abstract. In remote sensing images, the complex and changeable background often interferes with the detection of cloud and its shadow, which leads to the phenomenon of missing detection in areas with similar background colors. In… read more here.
Keywords: cloud shadow; double attention; attention; network ... See more keywords
DAWE: A Double Attention-Based Word Embedding Model with Sememe Structure Information
Sign Up to like & getrecommendations! Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10175804
Abstract: Word embedding is an important reference for natural language processing tasks, which can generate distribution presentations of words based on many text data. Recent evidence demonstrates that introducing sememe knowledge is a promising strategy to… read more here.
Keywords: double attention; information; word; model ... See more keywords