1 Introduction  
2 History  
3 Pipelines in Deep Learning Framework  
4 Algorithms  
5 Backbone Size and Data Distribution  
6 Datasets and Comparison Results  
7 Applications  
8 Competitions and Open Source Programs  
9 Conclusion