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ConvMAE
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ConvMAE

ConvMAE: Masked Convolution Meets Masked Autoencoders

by Alpha-VL · GitHub
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backbonecomputer-visionmaeMITPython
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Train and test different types of convolutional neural networks for image recognition tasks.

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2026-07-202026-08-31
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📄 About

ConvMAE: Masked Convolution Meets Masked Autoencoders

ConvMAE has 529 stars on GitHub. It has been forked 44 times. ConvMAE is written mainly in Python. It has been in active development since 2022. ConvMAE is available under the MIT license. Its main topics are backbone, computer-vision, mae, masked-image-modeling.

Frequently asked questions

What is ConvMAE?

ConvMAE: Masked Convolution Meets Masked Autoencoders

Is ConvMAE open source?

ConvMAE is an open-source project. It is released under the MIT license.

Is ConvMAE free?

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

What license does ConvMAE use?

ConvMAE is available under the MIT license.

What language is ConvMAE written in?

ConvMAE is written mainly in Python.

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