Yinan Shi

Towards Accurate Semi-Supervised BEV 3D Object Detection with Depth-Aware Refinement and Denoising-Aided Alignment

Recently, camera-based Bird's-Eye View (BEV) representation has gained significant traction in 3D object detection. However, training high-performance BEV 3D detectors typically requires a large number of annotated samples, which can be costly. Traditional semi-supervised methods for BEV 3D object d