1. INTRODUCTION  
1.1 Comparisons with Previous Reviews  
1.2 Scope  

2. REVIEW ON SMALL OBJECT DETECTION  
2.1 Problem Definition  
2.2 Main Challenges  
2.3 Review of Small Object Detection Algorithms  

3. REVIEW OF DATASETS FOR SMALL OBJECT DETECTION  
3.1 Datasets for Small Object Detection  
3.2 Evaluation Metrics  

4. BENCHMARKS  
4.1 Data Acquisition and Annotation  
4.2 Statistical Analysis  
4.3 Comparisons with Previous Benchmarks  

5. EXPERIMENTS  
5.1 Evaluation Protocol  
5.2 Implementation Details  
5.3 Results Analysis on SODA-D  
5.4 Results Analysis on SODA-A  

6. CONCLUSION AND OUTLOOK