Unsupervised 3D Point Cloud Linear Evaluation

In the field of computer vision, the unsupervised 3D point cloud linear evaluation task aims to train a linear classifier (such as an SVM) using representations obtained through unsupervised learning on pretraining datasets (like ShapeNet). The goal of this task is to validate the effectiveness of unsupervised learning methods and enhance the application value of 3D point cloud data in various visual recognition tasks.