Patent ID: 11961233
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 1:
2. The method according to claim 1, wherein training the first discriminator by using the predicted segmentation result of the source domain image and the predicted segmentation result of the target domain image comprises:
respectively inputting the predicted segmentation result of the source domain image and the predicted segmentation result of the target domain image to the first discriminator, to obtain a first discrimination result of the first discriminator for the predicted segmentation result of the source domain image and a second discrimination result of the first discriminator for the predicted segmentation result of the target domain image;
calculating a value of a discrimination loss function of the first discriminator according to the first discrimination result and the second discrimination result, the discrimination loss function of the first discriminator being used for measuring a discrimination accuracy of the first discriminator; and
adjusting a parameter of the first discriminator by minimizing the value of the discrimination loss function of the first discriminator.