Object detection and recognition are an integral part of computer vision systems. In computer vision, the work begins with a breakdown of the scene into components that a computer can see and analyse.

The study shows that the new method speeds detection up considerably ... researchers trained their computer vision algorithms on a data set of 975 images of mine-like objects.

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

McKinsey reports that computer vision ranks second among all other ... and replace individual components of marine structures. Object detection, position estimation and path planning algorithms ...

Just making a small tweak to algorithms typically used to enhance images could dramatically boost computer vision recognition capabilities ... Figure 1: Self-driving cars could benefit from enhanced ...

The object detection required ... directions for machine vision, including cloud computing to scale deep-learning solutions, automated ML architectures to improve the ML pipeline, transformer ...

Learn More Six members of Facebook AI Research (FAIR) tapped the popular Transformer neural network architecture to create end-to-end object detection ... revolutionize computer vision as they ...