Patent · US Active

Multi-task learning incorporating dependencies method for bionic eye's face attribute recognition

US11037035B2 · kind B2 · utility

0Cited by

0References

13Claims

0Family size

Assignee

Beijing Institute of Technology · CN

Inventors

Qiang Huang · Austin, US
Xiaopeng Chen · Plano, US
Di Fan · Shanghai, CN
Hyunwoo KIM · Seoul, KR
Xuechao Chen · Beijing, CN

Key dates

Filing date	Jun 4, 2019
Grant date	Jun 15, 2021
Priority date	—
Expiry date	Jul 16, 2039

Classification

Technology area (CPC G)Physics
CPC primaryG06V40/174
WIPO fieldComputer technology
WIPO sectorElectrical engineering

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.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.