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Found 4 papers, 4 papers with code
Aligning benchmark datasets for table structure recognition
However, even if a dataset's annotations are self-consistent, there may be significant inconsistency across datasets, which can harm the performance of models trained and evaluated on them.
GriTS: Grid table similarity metric for table structure recognition
In this paper, we propose a new class of metric for table structure recognition (TSR) evaluation, called grid table similarity (GriTS).
Discovering Distribution Shifts using Latent Space Representations
Rapid progress in representation learning has led to a proliferation of embedding models, and to associated challenges of model selection and practical application.
PubTables-1M: Towards comprehensive table extraction from unstructured documents
We demonstrate that these improvements lead to a significant increase in training performance and a more reliable estimate of model performance at evaluation for table structure recognition.
