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SuperGluePretrainedNetwork
Python

SuperGluePretrainedNetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

by magicleap · GitHub
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deep-learningfeature-matchinggraph-neural-networksPython
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Extract matching features from pairs of images using a specialized neural network for image analysis.

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4.05k4.04k
2026-07-072026-08-31
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📄 About

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

SuperGluePretrainedNetwork has 4k stars on GitHub. It has been forked 759 times. SuperGluePretrainedNetwork is written mainly in Python. It has been in active development since 2020. Its main topics are deep-learning, feature-matching, graph-neural-networks, pose-estimation.

Frequently asked questions

What is SuperGluePretrainedNetwork?

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

Is SuperGluePretrainedNetwork open source?

SuperGluePretrainedNetwork is an open-source project.

Is SuperGluePretrainedNetwork free?

Yes. SuperGluePretrainedNetwork is free and open source — you can use, modify and self-host it.

What language is SuperGluePretrainedNetwork written in?

SuperGluePretrainedNetwork is written mainly in Python.

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