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+ # This CITATION.cff file was generated with cffinit.
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+ # Visit https://bit.ly/cffinit to generate yours today!
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+
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+ cff-version : 1.2.0
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+ title : videomae-keras
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+ message : >-
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+ If you use this implementation, please cite it using the
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+ metadata from this file
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+ type : software
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+ authors :
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+ - given-names : Mohammed
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+ family-names : Innat
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+
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+ identifiers :
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+ - type : url
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+ value : ' https://github.com/innat/VideoMAE'
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+ description : Keras reimplementation of VideoMAE
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+ keywords :
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+ - software
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+ license : MIT
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+ version : 1.0.0
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+ date-released : ' 2023-10-13'
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## Citation
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+ If you use this videomae implementation in your research, please cite it using the metadata from our ` CITATION.cff ` file.
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``` python
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@inproceedings {tong2022videomae,
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title= {Video{MAE }: Masked Autoencoders are Data- Efficient Learners for Self- Supervised Video Pre- Training},
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