In this paper, we propose a spatial attention and attention gate UNet model (SAA-UNet) inspired by spatial attention UNet (SA-UNet) and attention UNet (Att-UNet) to deal with the problem of infection segmentation in the lungs. The proposed method was applied t...
3D SA-UNet: 3D Spatial Attention UNet with 3D ASPP for White Matter Hyperintensities Segmentation 来自 arXiv.org 喜欢 0 阅读量: 20 作者: C Guo 摘要: White Matter Hyperintensity (WMH) is an imaging feature related to various diseases such as dementia and stroke. Accurately segmenting WMH ...
我们研究了GSANet的体系结构,验证了通道注意和小UNet组件在整个GASNet中的重要性。我们通过比较所提出的 GSANet 和 GSANet 的以下变体来实现这项消融研究。 去噪。我们引入了一个小的UNet去噪。在实验中发现该模块可以在一定程度上提高分数。 为了研究GSANet的体系结构,验证了不同各个组件在整个模型中的重要性。我们...
我们研究了GSANet的体系结构,验证了通道注意和小UNet组件在整个GASNet中的重要性。我们通过比较所提出的 GSANet 和 GSANet 的以下变体来实现这项消融研究。 去噪。我们引入了一个小的UNet去噪。在实验中发现该模块可以在一定程度上提高分数。 为了研究GSANet的体系结构,验证了不同各个组件在整个模型中的重要性。我们...
While traditional Unet architectures and their transformer-integrated variants excel in automated segmentation tasks. However, they lack the ability to harness the intrinsic position and channel features of image. Existing models also struggle with parameter efficiency and computational complexity, often due...
PAG-Unet: multi-task dense scene understanding with pixel-attention-guided Unet Article Keywords Point-wise spatial attention Bi-direction information flow Adaptive context aggregation Scene parsing Semantic segmentation 1Introduction Scene parsing, a.k.a. semantic segmentation, is a fundamental and challen...
Li, J.; Liu, Y.; Zhang, Y.; Zhang, Y.: Cascaded attention denseunet (cadunet) for road extraction from very-high-resolution images. ISPRS Int. J. Geo Inf. 10(5), 329 (2021) Article Google Scholar Ge, Z.; Zhao, Y.; Wang, J.; Wang, D.; Si, Q.: Deep feature-review tr...
Ren, Y., Yu, Y. & Guan, H. DA-CapsUNet: A dual-attention capsule U-net for road extraction from remote sensing imagery.Remote Sens.12, 2866 (2020). ArticleADSGoogle Scholar Huang, X., Chen, H. & Gong, J. Angular difference feature extraction for urban scene classification using ZY...
PSANet: Point-wise Spatial Attention Network for Scene Parsing Hengshuang Zhao1⋆[0000−0001−8277−2706], Yi Zhang2⋆[0000−0002−2139−8551], Shu Liu1[0000−0002−2903−9270], Jianping Shi3[0000−0003−3257−8272], Chen Change Loy4[0000−0001−5345−15...
Regardless of channel or spatial attention, it cannot independently extract all global information until a complicated model is used. Furthermore, it affects the run-time. However trading in this contradiction is challenging. In this study, a new lane identification model that combines channel and ...