Uncertainty Quantification in Table Structure Recognition

Kehinde Ajayi, Leizhen Zhang, Yi He +1

Quantifying uncertainties for machine learning models is a critical step to reduce human verification effort by detecting predictions with low confidence. This paper proposes a met…