A Tiny Machine Learning Model for Point Cloud Object Classification

no code implementations • 20 Mar 2023 • Min Zhang, Jintang Xue, Pranav Kadam, Hardik Prajapati, Shan Liu, C. -C. Jay Kuo

On the other hand, the model size and inference complexity of DGCNN are 42X and 1203X of those of Green-PointHop, respectively.

Object

S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification

no code implementations • 22 Feb 2023 • Pranav Kadam, Hardik Prajapati, Min Zhang, Jintang Xue, Shan Liu, C. -C. Jay Kuo

Many point cloud classification methods are developed under the assumption that all point clouds in the dataset are well aligned with the canonical axes so that the 3D Cartesian point coordinates can be employed to learn features.

3D Point Cloud Classification Classification +1