1 Introduction

2 Related Work

3 Object Detection  
3.1 Backbone Networks  
3.2 CNN Based Two-Stage Detectors  
3.3 CNN Based One-Stage Detectors  

4 2D Image Top-Down Approaches  
4.1 Iterative Error Feedback  
4.2 Stacked Hourglass Network  
4.3 Regional Multi-Person Pose Estimation (RMPE)  
4.4 G-RMI  
4.5 Mask R-CNN  
4.6 Cascaded Pyramid Network (CPN)  

5 Evaluation Metrics  
5.1 Percentage of Correct Parts (PCP)  
5.2 Percentage of Correct Keypoints (PCK)  
5.3 The Average Precision (AP)  

6 Conclusion