LineFormer: Rethinking Line Chart Data Extraction as Instance Segmentation

Understand

Data extraction from line-chart images is an essential component of the automated document understanding process, as line charts are a ubiquitous data visualization format.

• However, the amount of visual and structural variations in multi-line graphs makes them particularly challenging for automated parsing.
• Existing works, however, are not robust to all these variations, either taking an all-chart unified approach or relying on auxiliary information such as legends for line data extraction.
• In this work, we propose LineFormer, a robust approach to line data extraction using instance segmentation.