Zhaowei Wu

Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary

Few-shot Open-set Object Detection (FOOD) poses a challenge in many open-world scenarios. It aims to train an open-set detector to detect known objects while rejecting unknowns with scarce training samples. Existing FOOD methods are subject to limited visual information, and often exhibit an ambiguo