公开(公告)号：US10810435B2

公开(公告)日：2020-10-20

申请号：US16183560

申请日：2018-11-07

Applicant: Adobe Inc.

Inventor： Joon-Young Lee ,  Seoungwug Oh ,  Ning Xu

IPC: G06K9/00 ,  G06N3/08

Abstract: In implementations of segmenting objects in video sequences, user annotations designate an object in any image frame of a video sequence, without requiring user annotations for all image frames. An interaction network generates a mask for an object in an image frame annotated by a user, and is coupled both internally and externally to a propagation network that propagates the mask to other image frames of the video sequence. Feature maps are aggregated for each round of user annotations and couple the interaction network and the propagation network internally. The interaction network and the propagation network are trained jointly using synthetic annotations in a multi-round training scenario, in which weights of the interaction network and the propagation network are adjusted after multiple synthetic annotations are processed, resulting in a trained object segmentation system that can reliably generate realistic object masks.