hoya012/CVPR-2019-Paper-Statistics
Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)
repo name | hoya012/CVPR-2019-Paper-Statistics |
repo link | https://github.com/hoya012/CVPR-2019-Paper-Statistics |
homepage | |
language | Jupyter Notebook |
size (curr.) | 3040 kB |
stars (curr.) | 515 |
created | 2019-04-16 |
license | |
CVPR-Paper-Statistics
Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR 2019)
Inspired by ICLR2019-OpenReviewData
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%.
CVPR 2019 simple paper review(20 papers)
CVPR Paper Keywords statistics
-
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
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
–> Use csv data formatCVPR_paper_statistics_using_chrome.ipynb
–> Use website data format
Prerequisites
- python3.5
- selenium
- wordcloud
- matplotlib
or
i highly recommend to use google colab
Just download jupyter notebook and move to your google drive and Open with Colaboratory