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 ...

First, a region selector uses “selective search,” algorithm that find regions ... improved the speed and accuracy of object detection with deep learning. The main improvement in YOLO is ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

There are, however, a few algorithms that implement ... that have been solved with deep learning include image classification with localization, object detection, object segmentation, image ...

First, a region selector uses “selective search,” algorithm that find regions ... improved the speed and accuracy of object detection with deep learning. The main improvement in YOLO is ...

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 ... “Traditional object detection algorithms (YOLOv5, MobileNet SSD) are bad at this type of problem (similar-sized objects ...

They’ve created an algorithm, described in a paper in Science Advances today, that they claim improves the detection capacity ... The Stanford team’s deep-learning algorithm, called ...