As Google incorporates more artificial intelligence into search, people are spending more time on Google. Some website operators are crying foul. Credit...Timo Lenzen Supported by By Kate Conger ...

I test laptops for a living, and have grown a bad habit out of it. The moment a top-tier machine lands on my desk, I immediately try to push it until I find the cracks. The render that stalls, the fan ...

The expansion of marine economic activities and the increasing demand for maritime security have positioned drone-based aerial object detection as a crucial technology for applications such as marine ...

Deep learning has become a transformative technology for modern weed detection, offering significant advantages over traditional machine vision in robustness, scalability, and recognition accuracy.

Abstract: This article proposes a lightweight 3-D object detection method that fuses light detection and ranging (LiDAR) and camera data for traffic monitoring. The proposed method is designed to run ...

Abstract: Object detection plays a vital role in autonomous vehicles, surveillance systems, health care and many more. This paper demonstrates a performance analysis of the YOLOv12 object detection ...

Few-shot object detection addresses the challenge of recognising and localising novel object categories from only a handful of annotated examples. Traditional deep-learning detectors demand extensive ...

LIDAR (Light Detection and Ranging) has emerged as a cornerstone technology for perceiving and interpreting complex traffic environments in modern intelligent transportation systems. By emitting laser ...

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 ...