Shypd.aiThe largest open index of AI toolsCVPR-2019-Paper-Statistics is an Open Source research & education tool that provides statistics and visualizations of CVPR 2019 accepted papers. It offers insights into acceptance rates and keyword trends for computer vision research.
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CVPR-2019-Paper-Statistics is an open-source project offering detailed statistics and visualizations for papers accepted at the CVPR 2019 conference. Inspired by ICLR2019-OpenReviewData, this tool analyzes the acceptance rate trends from 2015 to 2019, highlighting the significant increase in paper submissions and the corresponding decrease in acceptance rates. It also provides insights into the most frequent keywords in accepted papers, such as 'Image', 'detection', '3d', 'object', 'video', 'segmentation', 'adversarial', 'recognition', and 'visual'. The project includes Jupyter Notebook code for analysis and visualization, supporting both CSV and website data formats, and requires Python 3.5 with libraries like selenium, wordcloud, and matplotlib.
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