The process of identifying objects and understanding the world through the images collected from digital cameras is often referred to as 'computer vision' or 'machine vision.' ...

Segmentation is a core task within computer vision that enables AI models to recognize objects they’re looking at in a given image.

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 ...

Researchers have demonstrated a computer system that can discover and identify the real-world objects it 'sees' based on the same method of visual learning that humans use.

Computer vision also depends on image segmentation. The process divides an image into different regions based on the characteristics of pixels to identify objects or boundaries to simplify an image ...

Object classification, detection, and segmentation One of the key reasons for the growing interest in machine learning systems is the problems they can solve in computer vision.

A team of researchers at MIT CSAIL, in collaboration with Cornell University and Microsoft, have developed STEGO, an algorithm able to identify images down to the individual pixel.

The model is called STEGO, short for “Self-supervised Transformer with Energy-based Graph Optimization.” STEGO is a semantic segmentation algorithm, the process of labeling the pixels in an image.