Location modeling for localized object insertion

Abstract

Systems and techniques are described herein for determining bounding box coordinates. For example, a computing device can process an image to generate a first plurality of tokens associated with the image. The computing device can process, using a first machine learning model, the first plurality of tokens and a class token associated with a class of an object to generate a probability distribution associated with coordinates of a bounding box within the image. The computing device can determine, based on the probability distribution, target coordinates to position the bounding box within the image.

Dependencies are inferred from the claim text.