In this research, we propose a mask voxel autoencoder network for pre-training large-scale point clouds, dubbed Voxel-MAE ... thus improving the performance of downstream tasks, such as 3D object ...

Abstract: Self-supervised learning of point cloud aims to leverage unlabeled 3D data to learn meaningful representations ... Specifically, the transformers aim to reconstruct the masked point cloud.

Abstract: In this work, we introduce an adaptive hierarchical framework for efficient 3D object detection from point cloud data, designed to dynamically balance computational efficiency and detection ...

SDP architectures define a number of connection types including, client-to-gateway, client-to-server, server-to-server, and private, cloud-to-public cloud. Each of these connections depends upon ...