Few Shot Open Set Object Detection

Few Shot Open Set Object Detection is a cutting-edge technique in the field of computer vision aimed at detecting objects from both known and unknown categories using only a few labeled samples. This method enhances the model's generalization capability, effectively addressing the challenge of recognizing new object categories, and holds significant application value, especially in scenarios where labeled data is scarce or new categories frequently emerge.