Few-Shot Object Detection (FSOD) aims to detect the objects of novel classes using only a few manually annotated samples. With the few novel class samples, learning the inter-class relationships among ...

Over the recent years, there has been a growing interest in class-incremental 3D object detection based on point clouds. However, the current state-of-the-art (SOTA) methods still fall short of ...