It relies on employing attention-based processes to enhance the performance of U-net. Hard attention and soft attention are used to orient the U-net in learning the intended features from the target CT scans. Soft attention mechanisms, spatial and channel attentions, a...
In this network, we use U-net as the baseline and embed a dual-branch attention module in it. One of the branches provides channel attention via emphasizing feature association among different channel maps, while the other branch provides spatial attention which adaptively aggregates the features ...
Aiming at the above problems, we propose a rain mark removal algorithm based on the combination of dual-attention mechanism U-Net and multi-convolution. First, we add a double attention mechanism to the encoder of U-Net. It can give different weights to the rain mark features that need to...
论文题目:《Attention based dual UNET network for infrared and visible image fusion》 作者:Xuejiao Wang,Zhen Hua,Jinjiang Li 单位:青岛大学 期刊:Multimedia Tools and Applications 中科院分区:计…
attention的目的就是在decoder的时候每个输出能关注到输入重点的部分,而不是均匀的关注,也就是相当于乘上不同的加权系数,而这个系数的计算过程是将前一个隐层状态和encoder的每一个隐层节点杜比,通过一个函数来获得对齐的可能性,这个函数后加上一个softmax层就得到了每部分对齐的概率,最后加权求和得到总的v和u,代...
Dual-Path Attention Compensation U-Net for Stroke Lesion Segmentation. For the segmentation task of stroke lesions, using the attention U-Net model based on the self-attention mechanism can suppress irrelevant regions in an in... H Hui,X Zhang,Z Wu,... - Hindawi Limited 被引量: 0发表: ...
EDR-TransUnet: Integrating Enhanced Dual Relation-Attention With Transformer U-Net for Multiscale Rock Segmentation on Mars By integrating global and local features, image-specific positional and channel features, and using the Transformer and EDR-Block, the performance of rock ... Y Jia,G Wan,W...
whereX,AArow(X), andAAcol(X)represent the input matrix, row attention matrix, and column attention matrix, respectively. The BA assists the model in extracting high-level semantic information that is overlooked by the NA. Nevertheless, the encoder section of the U-Net model, characterized by...
AAU-net: An Adaptive Attention U-net for Breast Lesions Segmentation in Ultrasound Images Various deep learning methods have been proposed to segment breast lesion from ultrasound images. However, similar intensity distributions, variable tumor ... G Chen,Y Dai,J Zhang,... 被引量: 0发表: 2022...
U-Net decoder structure used in Swin-UNet and TransUNet, we specifically designed a multi-scale nested decoder based on the Swin Transformer for U-Net... J Yin - 《Mathematics》 被引量: 0发表: 2024年 A dual-branch and dual attention transformer and CNN hybrid network for ultrasound image...