Counting Pixels for an Effective Axis Detection
Author:
Affiliation:
1. Yonsei University,Seoul,Korea
2. Entertake,Seongnam,Korea
Funder
Ministry of SMEs and Startups
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9873849/9873997/09874147.pdf?arnumber=9874147
Reference6 articles.
1. ICDAR 2019 competition on har-vesting raw tables from infographics (chart-infographics);davila;2019 International Conference on Document Analysis and Recognition (ICDAR),0
2. ChartOCR: Data Extraction from Charts Images via a Deep Hybrid Framework
3. Extracting Scientific Figures with Distantly Supervised Neural Networks
4. ChartMaster: An End-to-End Method to Recognize, Redraw, and Redesign Chart
5. ChartSense
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