Segmentation is a core task within computer vision that enables AI models to recognize objects they’re looking at in a given image. It’s used in a wide range of applications, from analyzing ...

Let's explore some of the most significant recent advancements in computer vision, highlighting transformer architectures, self-supervised learning, multimodal integration, 3D scene understanding ...

A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical ...

Meta AI Research open-sourced DINOv2, a foundation model for computer vision (CV) tasks. DINOv2 is pretrained on a curated dataset of 142M images and can be used as a backbone for several tasks, inclu ...

Improved downstream task performance: The gains on complex tasks like object detection and segmentation translate directly to better performance for real-world applications like inventory ...

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires ...

Computer vision has some technical challenges as well. It’s limited by hardware, including cameras and sensors. Additionally, computer vision systems are very complex to scale.