1. INTRODUCTION  
2. OVERVIEW OF POPULAR DEEP LEARNING ARCHITECTURES  
3. OVERVIEW OF DIFFERENT DEEP FACE DETECTION MODELS  
4. FACE DETECTION BENCHMARK DATASETS  
5. EXPERIMENTAL PERFORMANCE  
6. CHALLENGES AND OPPORTUNITIES  
7. SUMMARY AND CONCLUSIONS  