Abstract: To address the issues of missed detections and incorrect detections in UAV aerial imagery target detection caused by complex backgrounds, dense targets, and an abundance of small objects. An ...

Abstract: In the field of remote sensing image processing, remote sensing image object detection is a crucial undertaking. However, the existing object detection algorithms have a considerable number ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

Mục tiêu của đề tài nhằm xây dựng hệ thống nhận diện phương tiện giao thông (xe 2 bánh, 4 chỗ, 7 chỗ, xe buýt, xe tải) qua camera: ...

Actor Ryan Reynolds told attendees at the Toronto International Film Festival (TIFF) on Friday that he is not "MAGA" or "extreme anything," recalling a moment when he suggested swapping phones with a ...

Aiming at the problem of inaccurate fruit recognition and fruit diameter detection in the persimmon inspection process, this research proposes a novel persimmon accurate recognition and fruit diameter ...

Scientists at Tarim University of China have proposed a way to address the challenging problem of pose recognition for photovoltaic panel cleaning robots. Their novel ...

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 ...

Maritime mobile edge computing (MMEC) technology facilitates the deployment of computationally intensive object detection tasks on Maritime Internet of Things (MIoT) devices with limited computing ...