MSDU-net: A Multi-Scale Dilated U-net for Blur Detection

doi:doi:10.57702/u35zw2rn

MSDU-net: A Multi-Scale Dilated U-net for Blur Detection

Blur detection is the separation of blurred and clear regions of an image, which is an important and challenging task in computer vision. In this work, we regard blur detection as an image segmentation problem.

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The json representation of the dataset with its distributions based on DCAT.
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Cite this as

Fan Yang, Xiao Xiao (2024). Dataset: MSDU-net: A Multi-Scale Dilated U-net for Blur Detection. https://doi.org/10.57702/u35zw2rn

DOI retrieved: December 2, 2024

Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Author	Fan Yang
More Authors	Xiao Xiao