- SciTSR is a dedicated dataset created to address the task of table structure recognition in scientific papers. The dataset consists of 12,000 training samples and 3,000 test samples.
- WTW’s images are collected in the wild. The dataset is split into training/testing sets with 10,970 and 3,611 samples respectively.
Please read the table in this image and return a html-style reconstructed table in text, do not omit anything.
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The TEDS-S of SciTSR and WTW.
Method SciTSR WTW GPT-4V 87.47% 25.60% Supervised-SOTA 99.19% 91.91% -
Illustration of table structure recognition. (a) and (c) are two input images, (b) and (d) are the corresponding visualized images of GPT-4V's html-style output sequence. (e) is the output sequence of (c), where the elements that GPT-4V indicate the ommited content are highlighted in red.
