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

Claim 5:
6. The method according to claim 5, wherein the step of optimizing the adversarial loss function of the third feature extraction model comprises:
inputting at least one of the difference feature information into the third feature extraction model to generate the second reconstructed image feature information;
constructing the adversarial loss function based on an absolute value of difference information between the first image samples and the second reconstructed image feature information, and a similarity between the first image samples and the second reconstructed image feature information;
performing a backward derivation of the adversarial loss function, updating third model parameters and the first model parameters based on a gradient corresponding to the third model parameters and a gradient corresponding to the first model parameters, respectively, in the adversarial reconstruction loss function after the backward derivation, and optimizing the adversarial loss function based on the third model parameters and the first model parameters.