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 ...
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
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 ...
Dot Physics on MSN
Python physics simulation: Modeling rigid objects with springs
This video demonstrates how to model rigid objects using springs in a Python physics simulation. We explore how spring forces approximate rigidity, analyze motion and stability, and visualize the ...
[2024-06-20]: Disable loading irrelvent packages when training individual models; update the instruction for DCR experiements; fix minor bugs in TabSyn's training script. [2024-05-14]: Add demo code ...
How-To Geek on MSN
Stop crashing your Python scripts: How Zarr handles massive arrays
Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.
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