To use artificial intelligence, or not to use AI? That is the question that all students and their educators face in today’s age. While people have been endlessly arguing the pros and cons of ...
Abstract: Few-Shot Object Detection (FSOD) aims to detect the objects of novel classes using only a few manually annotated samples. With the few novel class samples, learning the inter-class ...
More college students are using AI chatbots to help them with their studies. But data recently released by an AI company shows they're aren't the only ones using the technology. College students are ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
Autonomous driving is the future trend. Accurate 3D object detection is a prerequisite for achieving autonomous driving. Currently, 3D object detection relies on three main sensors: monocular cameras, ...
To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space can be ...
This project implements real-time object detection using OpenCV and a pre-trained SSD MobileNet V3 model. The application can identify and label various objects from a webcam feed or uploaded images ...
Sonar image object detection plays a crucial role in obstacle detection, target recognition, and environmental perception in autonomous underwater vehicles (AUVs). However, the complex underwater ...
LACEY, Wash. — School districts could be forced to restrict cell phone use for students under bills introduced in Olympia. Senate Bill 5346 would require the Office of the Superintendent of Public ...
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