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 ...

Research in the use of deep learning for object detection has made dramatic progress in recent years, driven by demand across a variety of applications, including facial recognition and 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 ...

“If we want to build robots that can actually act in the real world, then we need to have robust object detection,” he ... The problem with many deep learning models that can carry out object ...

object detection vs. semantic segmentation (credit: codebasics). The complexity of convolutional neural networks (CNN), the deep learning architecture commonly used in computer vision tasks ...