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- video-classification
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# VideoMAE (base-sized model, pre-trained only for
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VideoMAE model pre-trained on Something-Something-v2 in a self-supervised way. It was introduced in the paper [VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training](https://arxiv.org/abs/2203.12602) by Tong et al. and first released in [this repository](https://github.com/MCG-NJU/VideoMAE).
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- video-classification
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# VideoMAE (base-sized model, pre-trained only for 2400 epochs)
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VideoMAE model pre-trained on Something-Something-v2 in a self-supervised way. It was introduced in the paper [VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training](https://arxiv.org/abs/2203.12602) by Tong et al. and first released in [this repository](https://github.com/MCG-NJU/VideoMAE).
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