Abstract: This paper presents a real-time object detection and tracking algorithm for forward-looking sonar image sequences to enhance navigation and obstacle avoidance algorithms for autonomous ...

This valuable study presents a real-time system for identifying multiple unrestrained marmosets in a home cage setting using a combination of face detection and color-coded beads. However, there is ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

Fremont STEM Academy is using new yurts as expanded classroom space, giving students room to spread out beyond “our traditional space inside of the school,” according to Jennifer Steidtman Drivers ...

MOBILE, Ala. (WALA) - The Mobile Bay National Estuary Program is using innovation and science to improve water quality along the Alabama coast. Cody Aloi joined Studio 10 to share more. He discussed ...

This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...

Existing Incremental Object Detection (IOD) methods partially alleviate catastrophic forgetting when incrementally detecting new objects in real-world scenarios. However, many of these methods rely on ...

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 ...

This paper explores the integration of Artificial Intelligence (AI) large language models to empower the Python programming course for junior undergraduate students in the electronic information ...