Training-Free Open-World Fine-Grained UAV Recognition via Structure-Semantic Prototype Augmentation
Open-world fine-grained unmanned aerial vehicle (UAV) recognition is challenging due to the simultaneous presence of subtle inter-class variations, large intra-class diversity, and previously unseen categories encountered during deployment. Existing approaches typically rely on supervised fine-tuning with extensive ann...