The structure of MSRAFFB-Net (Source from: https://pixabay.com/photos/植物-叶子-粉色-春天-花朵-6222600/).

The structure of MSRAFFB-Net (Source from: https://pixabay.com/photos/植物-叶子-粉色-春天-花朵-6222600/).

<p>The structure of MSRAFFB-Net (Source from: <a href="https://pixabay.com/photos/植物-叶子-粉色-春天-花朵-6222600/" target="_blank">https://pixabay.com/photos/植物-叶子-粉色-春天-花朵-6222600/</a>).</p>

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Bibliographic Details
Main Author:	Haixia Liu (764025) (author)
Other Authors:	Mingliang Wang (1666225) (author)
Published:	2025
Subjects:	Cell Biology Pharmacology Biotechnology Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified standard datasets demonstrated scale recursive attention scale feature extraction increasing module depth holding positive implications attention feature fusion improved perceptual quality important application branches actual application scenarios improving reconstruction quality computer vision technology algorithm &# 8217 actual complex environments computer vision complex environments visual quality image reconstruction application algorithms various real various interferences simulation experiments severe distortion results indicate often subject many fields image super effectively improve characteristic information aff ).
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