https://github.com/wangxiao5791509/MultiModal_BigModels_Survey

[MIR-2023-Survey] A continuously updated paper list for multi-modal pre-trained big models
https://github.com/wangxiao5791509/MultiModal_BigModels_Survey

anhui-university audio big-models depth event-camera multi-modal natural-language pengchenglab point-cloud pre-training radar review rgb-text-audio self-attention survey thermal-infrared transformers

Last synced: about 2 months ago
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[MIR-2023-Survey] A continuously updated paper list for multi-modal pre-trained big models

• Host: GitHub
• URL: https://github.com/wangxiao5791509/MultiModal_BigModels_Survey
• Owner: wangxiao5791509
• Created: 2021-12-13T09:19:44.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2024-10-28T10:58:10.000Z (about 2 months ago)
• Last Synced: 2024-10-28T14:15:09.063Z (about 2 months ago)
• Topics: anhui-university, audio, big-models, depth, event-camera, multi-modal, natural-language, pengchenglab, point-cloud, pre-training, radar, review, rgb-text-audio, self-attention, survey, thermal-infrared, transformers
• Homepage:
• Size: 12.4 MB
• Stars: 279
• Watchers: 9
• Forks: 16
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        







## This github will be continuously updated for the survey paper: 

  


**Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey**, [Xiao Wang](https://wangxiao5791509.github.io/), [Guangyao Chen](https://icgy96.github.io/), Guangwu Qian, Pengcheng Gao, [Xiao-Yong Wei](https://scholar.google.com/citations?user=8kxWTokAAAAJ&hl=zh-CN&oi=ao), [Yaowei Wang](https://scholar.google.com/citations?user=o_DllmIAAAAJ&hl=zh-CN&oi=ao), [Yonghong Tian](https://scholar.google.com/citations?user=fn6hJx0AAAAJ&hl=zh-CN&oi=ao), [Wen Gao](https://scholar.google.com/citations?user=b0vWahYAAAAJ&hl=zh-CN&oi=ao). 

[[arXiv](https://arxiv.org/abs/2302.10035)] 

[[MIR](https://www.mi-research.net/article/doi/10.1007/s11633-022-1410-8)]

[[极市平台公众号](https://mp.weixin.qq.com/s/5eELXfACI67yZT7WUtMFMA)]

[[机器智能研究MIR(MIR编辑部)](https://mp.weixin.qq.com/s/yX1DdDCA-nMluzOB6Qz3sw)]

[[Machine Intelligence Research (Youtube)](https://youtu.be/zQxV-SUz6zU?si=e27cyVjMUdU-XEwd)]

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## News 

* [2024.06.20] [MIR 下载量 TOP10 好文 (我们的综述下载量：6618次)] [[MIR编辑部-机器智能研究MIR](https://mp.weixin.qq.com/s/R9uZqe2ZByYHziTp0nZIIA)]

## Framework of this survey





## Review and Surveys

Please check this file [[Surveys.md](https://github.com/wangxiao5791509/MultiModal_BigModels/blob/main/Surveys.md)]

## Datasets 

Please check this file [[Datasets.md](https://github.com/wangxiao5791509/MultiModal_BigModels/blob/main/Datasets.md)]

## Publications 

Please check this file [[paperList.md](https://github.com/wangxiao5791509/MultiModal_BigModels/blob/main/paperList.md)]

## Experimental Analysis 





## Other Useful Materials 

* [Awesome-Multimodal-Large-Language-Models](https://github.com/BradyFU/Awesome-Multimodal-Large-Language-Models)

## :page_with_curl: BibTex: 

If you find this survey useful for your research, please cite the following papers: 

```bibtex

@article{wang2022MMPTMSurvey,

  title={Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey},

  author={Wang, Xiao and Chen, Guangyao and Qian, Guangwu and Gao, Pengcheng and Wei, Xiao-Yong and Wang, Yaowei and Tian, Yonghong and Gao, Wen},

  url={https://github.com/wangxiao5791509/MultiModal_BigModels_Survey},

  year={2022}

}

```

If you have any questions about this survey, please email me via: [email protected] or [email protected]