February 13, 2026. This webinar describes how Deep Learning methods can be used for object detection and segmentation in high resolution drone imagery using ArcGIS Pro.

Abstract: Remote sensing images processing and analysis face significant challenges due to varying object scales and complex backgrounds. Existing detection algorithms often suffer from high ...

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 ...

Abstract: Visual object detection is vital for autonomous vehicles and robot navigation. While 2D object detection has progressed significantly, 3D detection remains challenging. LiDAR-based methods ...

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 ...

Streaming services are helping revive America’s most old-fashioned, undigital genre. Charley Crockett, a rising star in the roots-music field, performing in Nashville, Ind., in May.Credit...Kristine ...

Traditional manual detection of rural road surface distress is time-consuming and labor-intensive. In this paper, we propose a Mask R-CNN algorithm specifically designed for detecting rural road ...