公开(公告)号：US11037035B2

公开(公告)日：2021-06-15

申请号：US16431546

申请日：2019-06-04

Applicant: BEIJING INSTITUTE OF TECHNOLOGY

Inventor： Qiang Huang ,  Xiaopeng Chen ,  Di Fan ,  Hyunwoo Kim ,  Xuechao Chen

IPC: G06K9/62 ,  G06K9/66 ,  G06K9/00

Abstract: The application discloses a multi-task learning incorporating dependencies method for bionic eye's face attribute recognition, which is as follows: Determine the first face attribute and the second face attribute for attribute recognition of facial image. Obtain the first recognition task branch and the second recognition task branch. Establish the task dependency between the first recognition task branch and the second recognition task branch to obtain the first transformed face attribute fully connected layer related to the second face attribute. and the second transformed face attribute fully connected layer related to the first face attribute. Feed the first transformed face attribute fully connected layer into the prediction layer to predict the first face attribute of facial image. And feed the second transformed face attribute fully connected layer into the prediction layer to predict the second face attribute of facial image. The multi-task learning incorporating dependencies method for bionic eye's face attribute recognition will be obtained according to the above steps.