DDU-Net: A Domain Decomposition-Based CNN for High-Resolution Image Segmentation on Multiple GPUs

DDU-Net: A Domain Decomposition-Based CNN for High-Resolution Image Segmentation on Multiple GPUs

The segmentation of ultra-high resolution images poses challenges such as loss of spatial information or computational inefficiency. In this work, a novel approach that combines encoder-decoder architectures with domain decomposition strategies to address these challenges is proposed. Specifically,...

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Bibliographic Details
Main Authors: Corne Verburg, Alexander Heinlein, Eric C. Cyr
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks
deep learning
ultra-high-resolution images
image processing
parallel processing
semantic segmentation
Online Access:https://ieeexplore.ieee.org/document/10965628/
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https://ieeexplore.ieee.org/document/10965628/

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