公开(公告)号：US10991101B2

公开(公告)日：2021-04-27

申请号：US16299743

申请日：2019-03-12

Applicant: General Electric Company

Inventor： Rafi Shmuel Brada ,  Ron Wein ,  Gregory Wilson ,  Alberto Santamaria-Pang ,  Leonid Gugel

IPC: G06T7/10

Abstract: The example embodiments are directed to refinement process for generating an accurate image segmentation map. A refinement network may enhance an initially generated segmentation map using a model that is trained using synthetic images. In one example, the method may include storing an image of content which includes a plurality of categories of data, receiving an initial segmentation map of the image, the initial segmentation map comprising pixel probability values with respect to the plurality of categories, executing a refinement predictive model on the initial segmentation map and the image to generate a refined segmentation map, wherein the predictive model is trained using synthetic images of the plurality of categories of data, and generating a segmented image based on the refined segmentation map.