Video object segmentation and saliency detection are pivotal research domains within computer vision, addressing the automated separation of foreground objects from complex backgrounds in dynamic ...

Meta has introduced the Segment Anything Model, which aims to set a new bar for computer-vision-based ‘object segmentation’—the ability for computers to understand the difference between individual ...

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...

Google Image search now has pixel-level segmentation of objects in the foreground as you swipe from one image to the next. We saw this being tested on product images within the mobile search results, ...

Picking out separate objects in a visual scene seems intuitive to us, but machines struggle with this task. Now a new AI model from Meta has developed a broad idea of what an object is, allowing it to ...

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One reason I've been underwhelmed by AI is that companies consistently frame it as a solution to every problem under the sun. That's why Meta's new Segment Anything Model (SAM 2) is so intriguing to ...

Ultralytics, the global leader in open-source vision AI, today announced the launch of Ultralytics YOLO26, the most advanced and deployable YOLO (You Only Look Once) model to date. Engineered from the ...

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.

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 ...