Dec 26, 2023 · We propose an effective method, namely UAM-Net (UNet with Attention-based Multi-level feature fusion), to enhance global contextual understanding and maintain ...
Dec 26, 2023 · We propose an effective method, namely UAM-Net (UNet with Attention-based Multi-level feature fusion), to enhance global contextual understanding and maintain ...
Oct 3, 2024 · To address these limitations and improve segmentation accuracy, we propose an effective method, namely UAM-Net (UNet with Attention-based Multi- ...
UAM-Net: An Attention-Based Multi-level Feature Fusion UNet for Remote Sensing Image Segmentation. Published:2023-12-26 Issue: Volume: Page:267-278.
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The UNet architecture has achieved excellent performance in a variety of fields, such as medical image segmentation, remote sensing image analysis, and ...
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Nov 16, 2023 · UAM-Net: An Attention-Based Multi-level Feature Fusion UNet for Remote Sensing Image Segmentation. Pattern Recognition and Computer Vision.
Oct 22, 2024 · To address the issues regarding poor precision and multiple scales in different categories, we propose a UNet, based on multi-attention (MA-UNet) ...
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Apr 29, 2022 · We propose a UNet, based on multi-attention (MA-UNet). Specifically, we propose a residual encoder, based on a simple attention module, to improve the ...
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This study opens up a new path for remote sensing image segmentation technology and has important reference value for algorithm selection and improvement.
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May 10, 2023 · In this paper, a convolutional network, named Adaptive Feature Fusion UNet (AFF-UNet), is proposed to optimize the semantic segmentation performance.
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