TL; DR. MOTIP proposes a new perspective to regard the multi-object tracking task as an ID prediction problem. It directly predicts the ID labels for each object in the tracking process, which is more ...
The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...
Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...
Abstract: This project explores the creation of a machine object based on learning recognition system to increase accessibility for those with visual impairments. The system recognises and classifies ...
Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...
If you want to spoil a sailor's day, then a ship collision is the way to do it. That's why Texas A&M University has come up ...
Abstract: In order to provide safe development of road freight traffic, this paper proposes a truck driving risk identification method based on Optuna optimization of machine learning model. First, ...
Object detection in snowy weather poses significant challenges due to degraded image quality and obscured features. This paper introduces a unified detection framework that integrates image ...
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