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 ...

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 ...

Korea have now developed a smart IoT-enabled end-to-end system for 3D object detection in real time based on deep learning and specialized for autonomous driving situations. "For autonomous ...

Machine-learning systems are used to identify objects in images ... discover the representations needed for detection or classification. Deep-learning methods are representation-learning methods ...

More Objects (FOMO), the new deep learning architecture can unlock new computer vision applications. Most object-detection deep learning models have memory and computation requirements that are ...

Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...

“We report a complete deep-learning framework using a single-step object detection model in order to quickly and accurately detect and classify the types of manufacturing defects present on Printed ...

Some industrial innovations are barely noticed, such as forest inspection for fire hazards and prevention, but the benefits of AI when coupled with deep learning have a wide-ranging impact.