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 ...

Deep learning has revolutionised the field of image analysis and object detection by enabling computational models to learn hierarchical representations from vast datasets. This paradigm ...

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 ...

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 ...

and object detection. Deep learning is the same technology that the AlphaGo program used to beat the 18-time world Go champion Lee Sedol, a feat that some machine learning scientists described as ...

and object detection. For dates and locations, visit the Deep Learning with MATLAB course schedule. MathWorks provides a comprehensive platform for building AI-driven systems that is based on ...