7 citations · 7 across the 4 of their papers we have counts for
3 papers · 1 filter
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…
DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing Understanding
Kehinde Ajayi, Xin Wei, Martin Gryder +5
Recent advances in computer vision (CV) and natural language processing have been driven by exploiting big data on practical applications. However, these research fields are still…
A Study on Reproducibility and Replicability of Table Structure Recognition Methods
Kehinde Ajayi, Muntabir Hasan Choudhury, Sarah Rajtmajer +1
Concerns about reproducibility in artificial intelligence (AI) have emerged, as researchers have reported unsuccessful attempts to directly reproduce published findings in the fiel…