Overview OpenCV courses on Coursera provide hands-on, career-ready skills for real-world computer vision ...

Abstract: This paper presents an enhanced approach to real-time object detection, addressing challenges such as movement dynamics and environmental variability. The proposed method employs transfer ...

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 ...

The mystery object that struck a plane at 36,000 feet is likely not space debris, as some speculated, but rather a Silicon Valley test project gone wrong. On Oct. 16, United flight 1093 took off from ...

Facilitating earlier diagnosis and more precise treatment for patients with inflammatory diseases. This is the goal as the X-HiDE research project at örebro University in Sweden now enters its next ...

Abstract: Recently, salient object detection (SOD) in optical remote sensing images, dubbed ORSI-SOD, has attracted increasing research interest. Although deep-based models have achieved impressive ...

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 ...

What if you could teach a computer to recognize a zebra without ever showing it one? Imagine a world where object detection isn’t bound by the limits of endless training data or high-powered hardware.

The Patrick F. Taylor Foundation Object Project is a new interactive learning space opening on July 1. Here, we're highlighting five objects that will be on display—all of which have unique stories ...

I am working on an overhead object detection project using images with a resolution of 1280x1024. The objects are generally small (e.g., cars and people). The inference will be performed on the DPU.