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 ...

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 ...

Now, a team of researchers has developed a novel Internet-of-Things-enabled deep learning-based end-to-end 3D object detection system with improved detection capabilities even under unfavorable ...

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 ...

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 ...

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

Both libraries implement the most recent deep-learning algorithms for object detection. Detectron is available as a Python library available under the Apache 2.0 license and is built on Caffe2 ...