Patent ID: 11961277
Assignee: TSINGHUA UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 14:
15. The non-transitory computer readable storage medium according to claim 12, wherein the method, wherein the step of optimizing the first model parameters in the first feature extraction model to be trained comprises:
initializing a first training number of the second feature extraction model and a second training number of the third feature extraction model and alternately training the second feature extraction model and the third feature extraction model, wherein the step of performing an alternate training is:
optimizing the adversarial loss function of the third feature extraction model when a value, after doing a remainder operation on a second training generation based on a sum of the first training number and the second training number, is greater than the first training number, and, optimizing the reconstruction loss function of the second feature extraction model when the value, after doing the remainder operation on the second training generation, is less than the first training number until a current second training generation is greater than a second total training generation, stopping optimization and updating the first model parameters based on the adversarial loss function and the reconstruction loss function.