Train and test different types of convolutional neural networks for image recognition tasks.
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Free · no card · unsubscribe anytimeConvMAE: 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.
ConvMAE: Masked Convolution Meets Masked Autoencoders
ConvMAE is an open-source project. It is released under the MIT license.
Yes. ConvMAE is free and open source — you can use, modify and self-host it.
ConvMAE is available under the MIT license.
ConvMAE is written mainly in Python.
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Measured from GitHub topics shared by both projects, weighted by how rare each topic is.