Cybersecurity roundup: supply chain threats, AI agent risks, browser-cloning malware, mule networks, endpoint bypasses, and ...

Abstract: Reliable road object detection is crucial for self-driving cars and intelligent transportation systems. However, vision-only techniques fail in low-visibility conditions such as fog, rain, ...

Underwater object detection has emerged as a pivotal field for marine exploration, environmental monitoring and underwater robotics. The unique challenges of aquatic environments—such as light ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

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 ...

4D millimeter-wave radar has emerged as a promising sensor for autonomous driving, but effective 3D object detection from both 4D radar and monocular images remains a challenge. Existing fusion ...

Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing the use of Unmanned Aerial Vehicles (UAVs) for real-world applications such ...

ABSTRACT: 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 ...