Weakly Supervised 3D Detection

Weakly supervised 3D detection is an important branch in the field of computer vision, aiming to perform 3D object detection using limited labeled data or alternative supervisory signals. This task enhances model training efficiency and generalization capabilities by reducing reliance on expensive and time-consuming LiDAR annotations, making it particularly valuable in scenarios such as autonomous driving, robotic navigation, and augmented reality.