A new AI model, H-CAST, groups fine details into object-level concepts as attention moves from lower to high layers, outputting a classification tree—such as bird, eagle, bald eagle—rather than ...

Research finds using a large collection of simple, un-curated synthetic image generation programs to pretrain a computer vision model for image classification yields greater accuracy than employing ...

Labeling images is a costly and slow process in many computer vision projects. It often introduces bias and reduces the ability to scale large datasets. Therefore, researchers have been looking for ...

Computer vision trains AI to interpret images, automating tasks like driving and product tracking. Applications include Amazon's "Just Walk Out" tech and autonomous vehicles' navigation systems. Uses ...

Someone across the room throws you a ball and you catch it. Simple, right? Actually, this is one of the most complex processes we’ve ever attempted to comprehend – let alone recreate. Inventing a ...