GridFormer: Towards Accurate Table Structure Recognition via Grid Prediction — mentioned by noosphr

Wed, 14 May 2025 09:01:09 GMT

For non-table documents a fine tuned yolov8 + tesseract with _good_ image pre-processing has basically a zero percent error rate on monolingual texts. I say basically because the training data has worse labels than what the multi-model system gives out in the cases that I double checked manually. But no one reads the manual on tesseract and everyone ends up feeding it garbage, with predictable results. Tables are an open research problem. We started training a custom version of this model: https://arxiv.org/pdf/2309.14962 but there wasn't the business case since the bert search model dealt…

Paper and discussion history. A mention is not an endorsement.

GridFormer: Towards Accurate Table Structure Recognition via Grid Prediction — mentioned by klaussilveira

Thu, 06 Feb 2025 13:48:05 GMT

Only thing I could find about GridFormer and tables was this: https://arxiv.org/pdf/2309.14962v1 But there is no GitHub link or details on the implementation. Only model available seems to be one for removing weather effects from images: https://github.com/TaoWangzj/GridFormer Could you care to expand on how you would use GridFormer for extracting tables from images? Seems like it's not as trivial as using something like Excalibur or Tabula, both which seem more battle-tested.

Paper and discussion history. A mention is not an endorsement.

GridFormer: Towards Accurate Table Structure Recognition via Grid Prediction · HackerPapers discussions

GridFormer: Towards Accurate Table Structure Recognition via Grid Prediction — mentioned by noosphr

GridFormer: Towards Accurate Table Structure Recognition via Grid Prediction — mentioned by klaussilveira