Point cloud detection method and system based on self-supervision and active learning, and medium

The invention discloses a point cloud detection method and system based on self-supervision and active learning, and a medium. The method comprises the following steps: obtaining original point cloud data; extracting point cloud initial features of the original point cloud data based on a self-supervised learning algorithm; performing point cloud over-segmentation processing on the original point cloud data to obtain an initial over-point; distributing features for the initial super-points based on the point cloud initial features to obtain initial super-point features; obtaining an initial labeling sample based on the initial super-point feature and a mean value clustering algorithm; training an initial point cloud detection model based on the initial labeling sample; executing loop iteration operation on the initial point cloud detection model to obtain a final point cloud detection model; performing point cloud detection based on the final point cloud detection model; according to the method, better model