Object detection is used in many different domains, including autonomous driving, video surveillance, and healthcare. In this post, I will briefly review the deep learning architectures that ...

In this paper, we propose a novel moving object detection approach using deep learning to achieve a robust ... features as well as motion features. To this end, we design a deep learning architecture ...

In this paper, we propose a novel moving object detection approach using deep learning to achieve a robust ... features as well as motion features. To this end, we design a deep learning architecture ...

Called Faster Objects, More Objects (FOMO), the new deep learning architecture can unlock ... models such as YOLO (You Only Look Once) use single-shot detection to provide near real-time object ...

This repository offers a variety of pretrained YOLO v8[1] networks for object detection and ... It determines the system architecture, downloads the appropriate Python build, extracts it, and ...

object detection vs. semantic segmentation (credit: codebasics). The complexity of convolutional neural networks (CNN), the deep ... learning from it and generating the optimal architecture ...