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Selective Visual Attention is a field of Artificial Intelligence (AI) that focuses on the development of computer vision systems that can identify and track objects in a scene. It is a subset of computer vision that focuses on the ability of a computer to recognize and focus on specific objects in a scene. This technology is used in a variety of applications, such as autonomous vehicles, robotics, and surveillance.
Selective Visual Attention systems use a combination of deep learning algorithms and computer vision techniques to identify and track objects in a scene. These systems are trained to recognize objects in a scene and then focus on them. This technology is used to improve the accuracy of object detection and tracking, as well as to reduce the amount of time needed to process a scene.
Some of the companies in the Selective Visual Attention market include Google, Microsoft, IBM, Intel, and NVIDIA. These companies are developing AI-based solutions to improve the accuracy and speed of object detection and tracking. Additionally, these companies are also working on developing AI-based solutions for autonomous vehicles, robotics, and surveillance. Show Less Read more
