Belis0811/MaskUnet

This is official github repo for InReview paper "MaskAttn-UNet: A Mask Attention-Driven Framework for Universal Low-Resolution Image Segmentation"

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Experimental

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.

robotics augmented-reality scene-understanding image-analysis computer-vision
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 4 / 25

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26

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1

Language

Jupyter Notebook

License

AGPL-3.0

Last pushed

May 06, 2025

Commits (30d)

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