LocateAnything uses parallel box decoding to predict entire bounding boxes in one step, making it faster and more geometrically consistent than token-by-token coordinate generation.

Nvidia released 'LocateAnything', a powerful vision language grounding model that can detect and segment specific objects in crowded images or videos with high accuracy.

The LocateAnything model is fairly tiny at only 3 billion parameters and 7.8 GB in size, allowing it to fit on most consumer GPUs.