[ICDAR 2024] Multi-Cell Decoder and Mutual Learning for Table Structure and Character Recognition [ICDAR 2026] Revisiting Structural Dependency in Autoregressive Multi-task Table Recognition via Order-Independent Cell-Level Representations
Implementation of the table detection and table structure recognition deep learning model described in the paper "ClusterTabNet: Supervised clustering method for table detection and table structure recognition".
This repository contains the official implementation of the paper titled "Information Extraction from Visually Rich Documents Using Directed Weighted Graph Neural Network", which was presented in the 18th International Conference on Document Analysis and Recognition (ICDAR 2024).
To associate your repository with the icdar2024 topic, visit your repo's landing page and select "manage topics."