1. Introduction  
2. Major Challenges  
3. A Quick Overview of Deep Learning  
4. Datasets and Evaluation Metrics  
5. Table Detection and Structure Recognition Models  
6. Methodology  
7. Experiment Results  
8. Conclusion  