Engineers develop novel techniques to trick object detection systems Project to test and improve deep-learning algorithms for enhanced security Date: April 4, 2019 Source: Southwest Research ...

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 ...

Most object-detection deep learning models have memory and computation ... and we’ve seen a tremendous pickup of applications (40 percent of our projects are computer vision applications ...

Unlocking the hidden: groundbreaking techniques in camouflaged object detection promise unprecedented accuracy in real-world ...

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

In this project, we evaluated several Deep Learning methods to automatically recognize solar ... Finally, we also want to start looking at object detection models, which can be used to derive the ...