The model has demonstrated up to nine times faster performance than its predecessors when deployed on mobile devices, maintaining similar accuracy levels. They claim that the research promises to ...

Metas DINOv2 is a foundation model for computer vision. The company shows its strengths and wants to combine DINOv2 with large language models. In May 2021, AI researchers at Meta presented DINO (Self ...

Vision Transformers (ViTs) have emerged with superior performance on computer vision tasks compared to the convolutional neural network (CNN)-based models. However, ViTs mainly designed for image ...

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 ...

The emergence of neuromorphic vision sensors (also known as event-based cameras) revolutionized computer vision algorithms in the field of robotics. However, the pixel-independent nature of events and ...

A research team has developed a computer vision technique that can perform dichotomous image segmentation, high-resolution salient object detection, and concealed object detection in the same ...

A machine-learning model for high-resolution computer vision could enable computationally intensive vision applications, such as autonomous driving or medical image segmentation, on edge devices.

Meta has launched SAM 2, an advanced computer vision model for real-time video segmentation and object detection. SAM 2 offers enhanced efficiency and versatility, building on its predecessor SAM.