[ICDAR 2026 Oral] Revisiting Structural Dependency in Autoregressive Multi-task Table Recognition via Order-Independent Cell-Level Representations
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Sep 23, 2026 - Python
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icdar2024
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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".
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Mar 15, 2025 - Jupyter Notebook
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).
deep-learning pytorch document-analysis graph-convolutional-networks gcn graph-neural-networks gnn-model icdar2024 document-analysis-recognition
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Sep 14, 2024 - Python
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