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 ...

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

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 ...

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 ...

Other vision problems besides basic image classification that have been solved with deep learning include image classification with localization, object detection, object segmentation, image style ...

They did this using a "deep neural network," a machine-learning technique that ... visual flag that a neural network can detect as a first sign that an object is somewhere in an image's graininess.

The novel technique is based on the VarifocalNet deep-learning object detection framework, which was reportedly tweaked to achieve quicker and more accurate results. Compared to other such methods ...