Point-GNN

2000년 도입 · 논문 1편에서 사용

Point-GNN is a graph neural network for detecting objects from a LiDAR point cloud. It predicts the category and shape of the object that each vertex in the graph belongs to. In Point-GNN, there is an auto-registration mechanism to reduce translation variance, as well as a box merging and scoring operation to combine detections from multiple vertices accurately.

출처: Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud

소개 논문: Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud