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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)
| Date | Stars |
|---|---|
| 2026-07-31 | 532 |
| 2026-08-03 | 532 |
| 2026-08-06 | 532 |
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# CVPR-Paper-Statistics Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference [(CVPR 2019)](http://cvpr2019.thecvf.com/) Inspired by [`ICLR2019-OpenReviewData`](https://github.com/shaohua0116/ICLR2019-OpenReviewData) <p align="center"> <img width="600" src="/2019_cvpr/keyword_cloud_title.PNG"> </p> # CVPR 2019 Acceptance rate (2015~2019) - The total number of papers is increasing every year and this year has increased significantly! - The acceptance rate decreased from 30% to 25%. <p align="center"> <img width="500" src="/2019_cvpr/cvpr_acceptance_rate.PNG"> </p> # CVPR 2019 simple paper review(20 papers) - [Slide](https://www.slideshare.net/HoseongLee6/2019-cvpr-paperoverview) # CVPR Paper Keywords statistics - [Accepted Paper list](https://github.com/hoya012/CVPR-Paper-Statistics/blob/master/2019_cvpr/cvpr_2019_poster.csv) - Most of the top keywords were maintained - Image, detection, 3d, object, video, segmentation, adversarial, recognition, visual … - `graph`, `cloud`, `representation` are about twice as frequent - graph : 15 -> 45 - representation: 25 -> 48 - cloud: 16 -> 35 <p align="center"> <img width="1000" src="/2019_cvpr/top_keywords_2019+2018.png"> </p> # Analysis and Visualization Code (Jupyter Notebook) - The above data can be obtained from a simple jupyter notebook script. - I wrote two versions of the code. - [`CVPR_paper_statistics_using_csv.ipynb`](https://github.com/hoya012/CVPR-Paper-Statistics/blob/master/CVPR_paper_statistics_using_csv.ipynb) --> Use csv data format - [`CVPR_paper_statistics_using_chrome.ipynb`](https://github.com/hoya012/CVPR-Paper-Statistics/blob/master/CVPR_paper_statistics_using_chrome.ipynb) --> Use website data format ## Prerequisites - python3.5 - [selenium](https://selenium-python.readthedocs.io/) - [wordcloud](https://pypi.org/project/wordcloud/) - [matplotlib](https://matplotlib.org/) or **i highly recommend to use** [google colab](https://colab.research.google.com/) Just **download jupyter notebook** and **move to your google drive** and **Open with Colaboratory**
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José Vinícius de Miranda Cardoso · Morgan Stanley · Hong Kong
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:81bbffa8d8f60259, desc:computer vision