---
license: apache-2.0
extra_gated_prompt: "You agree to not use the model to conduct experiments that cause harm to human subjects."
extra_gated_fields:
  Name: text
  Company/Organization: text
  Country: text
  E-Mail: text
---

# Model Card for VideoChat2

This modelcard aims to give the model info of 'MVBench: A Comprehensive Multi-modal Video Understanding Benchmark'.

## Model Details

### Model Sources

- **Repository:** [VideoChat2](https://github.com/OpenGVLab/Ask-Anything/tree/main/video_chat22)
- **Paper:** [2311.17005](https://arxiv.org/abs/2311.17005)
- **Point of Contact:** mailto:[InternVideo Group](gvx-sh@pjlab.org.cn)

## Citation

If you find this work useful for your research, please consider citing VideoChat2. Your acknowledgement would greatly help us in continuing to contribute resources to the research community.

```
@article{li2023videochat,
  title={VideoChat: Chat-Centric Video Understanding},
  author={KunChang Li, Yinan He, Yi Wang, Yizhuo Li, Wenhai Wang, Ping Luo, Yali Wang, Limin Wang, and Yu Qiao},
  journal={arXiv preprint arXiv:2305.06355},
  year={2023}
}

@misc{li2023mvbench,
      title={MVBench: A Comprehensive Multi-modal Video Understanding Benchmark}, 
      author={Kunchang Li and Yali Wang and Yinan He and Yizhuo Li and Yi Wang and Yi Liu and Zun Wang and Jilan Xu and Guo Chen and Ping Luo and Limin Wang and Yu Qiao},
      year={2023},
      eprint={2311.17005},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}
```