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 ...

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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Investigators at Disney Research Zurich have developed a method for achieving very accurate object segmentation of video by enabling human editors to work efficiently with state-of-the-art algorithms ...

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 ...

A tool for efficient semi-supervised video object segmentation (great results with minimal manual labor) and a dataset for benchmarking ...

Abstract: Referring Video Object Segmentation (RVOS) aims to segment objects in videos based on natural language descriptions, which requires accurate spatial localization and temporal consistency. In ...

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, ...