Using Multi-Scale Attention for Semantic Segmentation

Originally published at: Using Multi-Scale Attention for Semantic Segmentation | NVIDIA Technical Blog

There’s an important technology that is commonly used in autonomous driving, medical imaging, and even Zoom virtual backgrounds: semantic segmentation. That’s the process of labelling pixels in an image as belonging to one of N classes (N being any number of classes), where the classes can be things like cars, roads, people, or trees. In…

The code is now public here: GitHub - NVIDIA/semantic-segmentation: Nvidia Semantic Segmentation monorepo