EdgeNeXt
[CADL'22, ECCVW] Official repository of paper titled "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications".
Use a model to classify images quickly on mobile devices with high accuracy.
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Free · no card · unsubscribe anytime[CADL'22, ECCVW] Official repository of paper titled "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications".
EdgeNeXt has 417 stars on GitHub. It has been forked 46 times. EdgeNeXt is written mainly in Python. It has been in active development since 2022. EdgeNeXt is available under the MIT license. Its main topics are classification, cnn, edge-computing, hybrid-model.
What is EdgeNeXt?
[CADL'22, ECCVW] Official repository of paper titled "EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications".
Is EdgeNeXt open source?
EdgeNeXt is an open-source project. It is released under the MIT license.
Is EdgeNeXt free?
Yes. EdgeNeXt is free and open source — you can use, modify and self-host it.
What license does EdgeNeXt use?
EdgeNeXt is available under the MIT license.
What language is EdgeNeXt written in?
EdgeNeXt is written mainly in Python.
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