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 ...
Abstract: The rapid growth of Deep Learning techniques plays a vital role in automation of manual work in various areas. One such area for application of new technology is that of Construction Worker ...
This repository contains a Simscape model of a quadrupeded robot able to walk on flat and inclined terrain, with a environment that presents different obstacles, and the posibility of open-loop or ...
The ATT&CK Data Model (ADM) provides a type-safe, object-oriented interface for working with MITRE ATT&CK datasets. Built on STIX 2.1 compliance, it uses Zod schemas and TypeScript types to ensure ...
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