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 ...

The AI was trained on 1.1 billion segmentation masks—regions of an image that have been annotated to say they contain a particular object.

Whereas video object segmentation focuses on isolating objects by leveraging spatio-temporal cues, saliency detection prioritises the most attention-grabbing regions in video sequences.

Meta AI has introduced the Segment Anything Model (SAM), aiming to democratize image segmentation by introducing a new task, dataset, and model. The project features the Segment Anything Model ...

AttendSeg is a new neural network architecture from DarwinAI designed to perform image segmentation on low-power/capacity computing devices.

Image segmentation is a process in computer vision that involves dividing an image into multiple segments or regions, each representing a specific object or area of interest.

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 ...

Cellular Processes in Segmentation Smithsonian Libraries and Archives Object Details author Chipman, Ariel Notes Description based upon print version of record 3.3.3.4 Role of Pair-Rule Genes in ...