Belis0811/MaskUnet
This is official github repo for InReview paper "MaskAttn-UNet: A Mask Attention-Driven Framework for Universal Low-Resolution Image Segmentation"
This project helps roboticists, AR/VR developers, and anyone building large-scale scene understanding systems to analyze low-resolution images (128x128 pixels). It takes a low-resolution image as input and outputs a segmented image, clearly outlining different objects or regions within it. This is specifically useful for applications where processing power or memory is limited.
No commits in the last 6 months.
Use this if you need to accurately identify and delineate objects within low-resolution images in a resource-constrained environment.
Not ideal if you are working with high-resolution images or do not have strict memory or computational constraints.
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Jupyter Notebook
License
AGPL-3.0
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Last pushed
May 06, 2025
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