1 INTRODUCTION
2 COMPARISON WITH RELATED SURVEY PAPERS
3 BACKGROUND ON OBJECT DETECTION
3.1 CNN-based object detectors
3.2 Transformer-based object detectors
4 SURVEY OF FEW SHOT OBJECT DETECTION METHODS
4.1 Problem Definition and Difference Between FSOD Settings
4.2 Standard Few Shot Object Detection (FSOD)
4.3 Generalized Few Shot Object Detection (G-FSOD)
4.4 Incremental Few Shot Object Detection (I-FSOD)
4.5 Open-Set Few Shot Object Detection (O-FSOD)
4.6 Few Shot Domain Adaptive Object Detection (FSDAOD)
5 DATASETS, EVALUATION PROTOCOLS
5.1 Dataset details
5.2 Evaluation Protocol
6 RESULT DISCUSSION
6.1 Discussion on results of Standard FSOD methods
6.2 Discussion on results of G-FSOD methods
6.3 Discussion on results of I-FSOD methods
6.4 Discussion on results of O-FSOD methods
6.5 Discussion on results of FSDAOD methods
7 CHALLENGES, APPLICATIONS AND FUTURE RESEARCH DIRECTIONS
7.1 Challenges
7.2 Applications
7.3 Future Research Directions
8 CONCLUSION