1 citations · 3 across the 10 of their papers we have counts for
6 papers · 1 filter
Mind the Gaps: A Curated Benchmark for Form Field Detection
Iheb Brini, Omar Moured, Hamza Gbada +1
Form Field Detection (FFD) is a fundamental component of document understanding systems, enabling applications ranging from large-scale industrial digitization to accessible form i…
Performance Gap Analysis between Latin and Arabic Scripts HTR
Sana Al-azzawi, Elisa Barney, Marcus Liwicki
Recent studies have shown that handwritten text recognition (HTR) systems perform worse on Arabic-script datasets than on Latin-script data. However, the reasons for this gap are s…
Cross-Lingual Learning within Arabic Script for Low-Resource HTR
Sana Al-azzawi, Elisa Barney, Marcus Liwicki
Handwritten Text Recognition (HTR) with limited labeled data remains a challenging problem, particularly for Arabic-script languages. Although modern sequence-based recognizers per…
Understanding Cross-Language Transfer Improvements in Low-Resource HTR: The Role of Sequence Modeling
Sana Al-azzawi, Chang Liu, Nudrat Habib +2
Handwritten Text Recognition (HTR) for Arabic-script languages benefits from cross-language joint training under low-resource conditions, particularly when using CRNN-based models…
A Human-in-the-Loop Label Error Detection Framework Applied to Arabic-Script HTR Datasets
Sana Al-azzawi, Elisa Barney, Marcus Liwicki
Despite recent advances, Handwritten Text Recognition (HTR) for Arabic-script languages still lags behind Latin-script HTR. Part of the problem is dataset quality. To help closing…
Instruction Makes a Difference
Tosin Adewumi, Nudrat Habib, Lama Alkhaled +1
We introduce Instruction Document Visual Question Answering (iDocVQA) dataset and Large Language Document (LLaDoc) model, for training Language-Vision (LV) models for document anal…