Beijing Xiaomi Mobile Software Co., Ltd.

Beijing Institute of Technology

Di Fan

Xiaodong Li

Qiang Huang

Xuechao Chen

Xiaopeng Chen

Hyunwoo Kim

Display screen or portion thereof with animated graphical user interface

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.

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

Growing community of inventors

Beijing, China

Di Fan