公开(公告)号：US11837021B1

公开(公告)日：2023-12-05

申请号：US18346760

申请日：2023-07-03

Applicant: HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Inventor： Li Yu ,  Shuangjiang He ,  Huijuan Zhao

IPC: G06V40/16 ,  G06V10/764 ,  G06V10/80 ,  G06V10/774

CPC classification number: G06V40/176 ,  G06V10/764 ,  G06V10/774 ,  G06V10/806 ,  G06V40/165 ,  G06V40/172

Abstract: Disclosed is a compound expression recognition method with few samples of multi-domain adversarial learning. To extract compound expression features with diversity and complexity with few samples, multiple small sample datasets are fused, and divided into expression sub-domains, and multi-domain adversarial learning is performed to improve the performance of compound expression recognition. Based on the generative adversarial network framework, the face domain and the contour-independent compound expression domain are fused in the generative network to enhance diversity and complexity, and two discriminators are designed to guide the generator. The face discriminator uses the face domain to guide the generator and identify the generator to generate expression-independent face identity attributes, so that the generator has identity diversity. The compound expression fusing discriminator fuses the basic expression domain and the contour-related compound expression domain together to guide the generator and identify the complexity of the expressions generated by the generator.