THT-Net: A Novel Object Tracking Model Based on Global-Local Transformer Hashing and Tensor Analysis
Abstract: The object point clouds acquired by the original LiDAR are inherently sparse and incomplete, resulting in suboptimal single object tracking (SOT) precision for 3D bounding boxes, especially ...
More models' results coming soon ..... We allow users to directly download all pre-trained models with standard training here. Make sure you are in ModelNet40-C. download.sh script can be used for ...
This document details an automated pipeline designed to convert raw 3D point cloud data of indoor environments into structured, two-dimensional floor plans. The core challenge lies in translating an ...
Abstract: In this paper, we study the problem of 3D object segmentation from raw point clouds. Unlike existing methods which usually require a large amount of human annotations for full supervision, ...
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