Wa1den-jy/Topic-on-Table-Recognition
This is a survey on the topic of table recognition
This is a curated collection of research papers and datasets focused on advanced methods for automatically extracting information from tables within documents, particularly using deep learning. It helps researchers and engineers improve how computers find tables and understand their internal layout, taking images or scanned documents as input and providing identified tables and their structural details as output. It is useful for anyone working on document digitization, data extraction, or automated content analysis.
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Use this if you are a researcher or engineer looking for state-of-the-art models and datasets to improve automated table detection and structure recognition from documents.
Not ideal if you are an end-user seeking a ready-to-use tool for immediate table data extraction without diving into the underlying research and model implementation.
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Nov 05, 2023
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