1. INTRODUCTION  
2. CONCEPTS AND PRELIMINARIES  
2.1. Few-Shot Learning  
2.2. Few-Shot Domain Adaptation  
2.3. Cross-Domain Few-Shot  
2.4. Domain Adaptation & Generalization  
2.5. Meta-Learning  
3. DIFFERENT SETTING OF CDFS  
3.1. Multiple Source CDFS  
3.2. Single Source CDFS  
4. DIFFERENT SOLUTION OF CDFS  
4.1. Feature-Enhancement Based  
4.2. Image-Enhancement Based  
4.3. Decompose Based  
4.4. Fine-tuning Based  
5. BENCHMARK  
5.1. CDFS Classification  
6. APPLICATION OF CDFS  
6.1. CDFS for Object Detection  
6.2. CDFS for Segmentation  
6.3. CDFS for Other Applications  
7. FUTURE DIRECTION  
7.1. Future Challenges  
7.2. Future Techniques  
7.3. Future Applications  
8. CONCLUSION