A new AI model, H-CAST, groups fine details into object ... Yu, a professor of computer science and engineering at U-M and contributing author of the study. Hierarchical classification overcomes ...

A novel vision sensor inspired by the neural transmission mechanisms of the human brain has been developed to efficiently and accurately extract object outlines even under fluctuating lighting ...

The object detection required for machine ... The transformer model, started three years ago for classification and detection purposes, is now a requirement for generative AI and generative AI vision.

Computer vision (CV) and image processing are two ... Medical devices use image classification to identify and diagnose conditions. In sports, object and motion tracking is used to follow balls and ...

Convolutional neural networks (CNNs) are a class of deep neural networks commonly used in computer vision tasks such as image and video recognition, object detection and image segmentation.

Computer vision in robot-controlled dismantling relies on numerous sensors and cameras to gather detailed environmental data. This data enables precise object localization and awareness of ...