Introduction This paper presents a graph cut approach to the image segmentation task. Considering the image to be a directed graph with two nodes representing the source (object) and the sink ...

The transformer-based semantic segmentation approaches, which divide the image into different regions by sliding windows and model the relation inside each window, have achieved outstanding ...

New AI model can “cut out” any object within an image—and Meta is sharing the code Meta's "Segment Anything" uses AI to isolate objects on command.

Meta's Segment Anything Model allows for more accurate and efficient identification and labeling within visual media, which some have labeled a "groundbreaking" advancement.