ViViT model as introduced in the paper
ViViT: A Video Vision Transformer by Arnab et al. and 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.
ViViT is an extension of the
Vision Transformer (ViT) to video.
We refer to the paper for details.
The model is mostly meant to intended to be fine-tuned on a downstream task, like video classification. See the
model hub to look for fine-tuned versions on a task that interests you.
For code examples, we refer to the
documentation.
1@misc{arnab2021vivit,
2 title={ViViT: A Video Vision Transformer},
3 author={Anurag Arnab and Mostafa Dehghani and Georg Heigold and Chen Sun and Mario Lučić and Cordelia Schmid},
4 year={2021},
5 eprint={2103.15691},
6 archivePrefix={arXiv},
7 primaryClass={cs.CV}
8}
