Vivit B 16x2

🚀 ViViT (Video Vision Transformer)

ViViT is a model that extends the capabilities of the Vision Transformer to the video domain. It provides a new approach for video - related tasks, such as video classification.

🚀 Quick Start

The ViViT model was introduced in the paper ViViT: A Video Vision Transformer by Arnab et al. and was first released in this repository.

Disclaimer: The team releasing ViViT did not write a model card for this model, so this model card has been written by the Hugging Face team.

✨ Features

ViViT is an extension of the Vision Transformer (ViT) to video. For detailed information, please refer to the original paper.

📚 Documentation

Intended Uses & Limitations

The model is mainly intended to be fine - tuned on downstream tasks, such as video classification. You can visit the model hub to find fine - tuned versions for tasks that interest you.

How to Use

For code examples, please refer to the documentation.

BibTeX Entry and Citation Info

@misc{arnab2021vivit,
      title={ViViT: A Video Vision Transformer}, 
      author={Anurag Arnab and Mostafa Dehghani and Georg Heigold and Chen Sun and Mario Lučić and Cordelia Schmid},
      year={2021},
      eprint={2103.15691},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

📄 License

This project is licensed under the MIT license.