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# InternVideo2 \[[Paper\]](https://arxiv.org/abs/2403.15377) | |
<!-- [中文 README](README_cn.md) --> | |
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This repo will give the code and models of '[InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding](https://arxiv.org/abs/2403.15377)' soon. | |
- **Achieved `92.1%` Top1 accuracy in Kinetics 400.** | |
- **Achieved `SOTA` performance on over `60` video/audio-related tasks (including action recognition, temporal localization, retrieval, etc) when released.** | |
## Updates | |
- `2024/04/15`: Update the code and scripts for InternVideo2 CLIP. | |
- `2024/04/13`: Update the code and scripts for InternVideo2 Stage1 & 2. | |
- `2024/03/22`: The technical report of InternVideo2 is released. | |
## Citation | |
If this work is helpful for your research, please consider citing InternVideo. | |
``` | |
@article{wang2024internvideo2, | |
title={InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding}, | |
author={Wang, Yi and Li, Kunchang and Li, Xinhao and Yu, Jiashuo and He, Yinan and Chen, Guo and Pei, Baoqi and Zheng, Rongkun and Xu, Jilan and Wang, Zun and Shi, Yansong and Jiang, Tianxiang and Li, Songze and Zhang, Hongjie and Huang, Yifei and Qiao, Yu and Wang, Yali and Wang, Limin}, | |
journal={arXiv preprint arXiv:2403.15377}, | |
year={2024} | |
} | |
``` | |