1. Introduction
2. Major Challenges
2.1. Object Detection Challenges
2.2. Table Detection Challenges
3. A Quick Overview of Deep Learning
4. Datasets and Evaluation Metrics
4.1. Datasets
4.2. Metrics
5. Table Detection and Structure Recognition Models
5.1. Table Detection Models
5.2. Table Structure Recognition Models
6. Methodology
6.1. Faster R-CNN
6.2. Mask R-CNN
6.3. HRNets
6.4. Resnest
6.5. Dynamic R-CNN
7. Experiment Results
7.1. Experiment Settings
7.2. Results of TNCR Dataset
7.3. Result of Different Datasets
7.4. Open Source Code
8. Conclusion