Empowering the world's largest computer vision ecosystem with a unified, one-click NPU hardware standard for building the ...

What if building AI for tiny devices no longer needed multiple tools? A platform connects data collection, model integration, ...

Hundreds of packages across npm and PyPI have been compromised in a new Shai-Hulud supply-chain campaign delivering ...

Abstract: This paper presents a real-time object detection and tracking algorithm for forward-looking sonar image sequences to enhance navigation and obstacle avoidance algorithms for autonomous ...

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 ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

In this tutorial, we build an end-to-end cognitive complexity analysis workflow using complexipy. We start by measuring complexity directly from raw code strings, then scale the same analysis to ...

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 ...

Leverage the power of computer vision and deep learning to automate the discovery of protein crystals in electron microscopes, accelerating the pace of modern drug discovery. Project is Not Currently ...

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 ...