Their model could also be applied to other computer vision tasks, like image classification. Streamlining semantic segmentation When they tested their model on datasets used for semantic ...

Meta has launched SAM 2, an advanced computer vision model that significantly improves real-time video segmentation and object detection. You can now enhance your video editing and analysis ...

Artificial intelligence researchers at Meta Platforms Inc. said today that they’re hoping to democratize a key aspect of computer vision. It’s known as “segmentation,” which refers to the ...

Meta AI Research open-sourced DINOv2, a foundation model for computer vision ... semantic segmentation, and depth estimation. Meta based the model on the Vision Transformer (ViT) architecture ...

A new AI model ... of computer science and engineering at the University of Michigan and lead author of the study. Unlike prior methods, the research team leveraged unsupervised segmentation ...

Two years ago, Microsoft announced Florence, an AI system that it pitched as a "complete rethinking" of modern computer vision models ... Florence is driving video segmentation capabilities.

When it comes to generative AI news, Meta has taken somewhat of a backseat as of late. However, on Wednesday, the tech giant unveiled research on image segmentation that could have a large impact ...

“Galileo Data Intelligence for Computer Vision will create significant ... object detection and semantic segmentation models across a broad range of industries, including e-commerce, retail ...

On Wednesday, Meta announced an AI model called the Segment Anything Model (SAM) that can identify individual objects in images and videos, even those not encountered during training, reports Reuters.