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

Claim 3:
4. The method according to claim 3, wherein after the step of calculating the adversarial loss function of the third feature extraction model based on the second reconstructed image feature information corresponding to the first image samples and the first image samples, the method further comprises:
optimizing the third feature extraction model using the adversarial loss function of the third feature extraction model, specifically comprising:
performing a backward derivation of the adversarial loss function of the third feature extraction model, updating third model parameters corresponding to the third feature extraction model based on a gradient corresponding to the third model parameters in the adversarial loss function after the backward derivation, and accumulating a number of updates to a first training generation;
repeating the step of inputting the difference feature information into the third feature extraction model to the step of updating the third model parameters corresponding to the third feature extraction model based on the gradient corresponding to the third model parameters in the adversarial loss function after the backward derivation until the first training generation is currently greater than a first total training generation, stopping optimization and saving a currently optimized third feature extraction model.