Abstract: Object detection refers to the identification of objects where the presence, location, and size are determined while putting on the corresponding class labels. Object detection is sensitive ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...

Sarah Lyon is a writer, sometimes stylist, and home decor enthusiast originally from the Washington, D.C. area. She can't resist vintage pieces or finding a good deal and shares all of her latest home ...

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: This Reaseach presents Vision-based Missile Guidance System integrating machine learning techniques for object detection and tracking. The system integrates the device with DeepSORT ...

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