公开(公告)号：US11048977B1

公开(公告)日：2021-06-29

申请号：US16580294

申请日：2019-09-24

Applicant: Apple Inc.

Inventor： Daniel Ulbricht ,  Mohammed Haris Baig ,  Amit Kumar K C

IPC: G06K9/62 ,  G06T7/10

Abstract: In one implementation, a method of training a type-agnostic object segmentation system is performed in a type-agnostic object segmentation system including one or more processors, and a non-transitory memory. The method includes obtaining a data set; generating a respective embedding vector for each of a plurality of pixels of the image frame; mapping a plurality of embedding vector representations into a dataspace defined by a dimensionality of the plurality of embedding vector representations; comparing the at least one object instance representation candidate against the respective segmentation mask; and adjusting the type-agnostic object segmentation system in order to satisfy an error threshold across the plurality of image data frames according to a determination that the at least one object instance representation candidate and the respective segmentation mask differ by a threshold value.