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

Claim 13:
14. The device according to claim 9, wherein, when the processor is configured to cause the device to iteratively train the pre-trained image segmentation model according to the loss function of the pre-trained image segmentation model, the first adversarial loss function of the first discriminator, and the second adversarial loss function of the second discriminator, until convergence, to obtain a trained image segmentation model, the processor is configured to cause the device to iteratively perform until convergence:
constructing a target function according to the loss function of the pre-trained image segmentation model, the first adversarial loss function of the first discriminator, and the second adversarial loss function of the second discriminator; and
adjusting a parameter of the pre-trained image segmentation model by minimizing a value of the loss function of the pre-trained image segmentation model and a value of a weighted sum of the first adversarial loss function of the first discriminator and the second adversarial loss function of the second discriminator and maximizing a value of a discrimination loss function of the first discriminator and a value of a discrimination loss function of the second discriminator, to obtain the trained image segmentation model.