- Article
HybridTabNet: Towards Better Table Detection in Scanned Document Images
- Danish Nazir,
- Khurram Azeem Hashmi,
- Alain Pagani,
- Marcus Liwicki,
- Didier Stricker and
- Muhammad Zeshan Afzal
Tables in document images are an important entity since they contain crucial information. Therefore, accurate table detection can significantly improve the information extraction from documents. In this work, we present a novel end-to-end trainable p...