3D Object Classification is the task of predicting the class of a 3D object point cloud. It is a voxel level prediction where each voxel is classified into a category. The popular benchmark for this task is the ModelNet dataset. The models for this task are usually evaluated with the Classification Accuracy metric.
원본 태스크: Shape Representation Of 3D Point Clouds / 3D Point Cloud Reconstruction / 3D Point Cloud Classification / 3D Object Classification / Generative 3D Object Classification
원본 태스크: Shape Representation Of 3D Point Clouds / 3D Point Cloud Reconstruction / 3D Point Cloud Classification / 3D Object Classification / Generative 3D Object Classification