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 ...

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 ...

For example, driverless car development requires billions of images and hours and hours of video, which help deep learning to automatically detect objects such as pedestrians, stop signs and ...

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

Learn More The use of deep learning ... features like objects and scenes. Function composition in neural networks is in line with that, where each function composition is learning complex features ...

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 ...