Junlong Shen

From Dataset to Real-world: General 3D Object Detection via Generalized Cross-domain Few-shot Learning

LiDAR-based 3D object detection models often struggle to generalize to real-world environments due to limited object diversity in existing datasets. To tackle it, we introduce the first generalized cross-domain few-shot (GCFS) task in 3D object detection, aiming to adapt a source-pretrained model to