You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

You agree to not use the model to conduct experiments that cause harm to human subjects.

Log in or Sign Up to review the conditions and access this model content.

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

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}
}
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference API
Unable to determine this model's library. Check the docs .

Collection including OpenGVLab/VideoChat2_stage3_Mistral_7B