Model training method and related device

A model training apparatus, comprising:

• a processor, and
• a memory coupled to the processor to store instructions, which when executed by the processor, cause the model training apparatus to perform operations, the operations comprising:
• obtaining a first source domain image associated with a target domain image and a second source domain image associated with the target domain image;
• obtaining a first prediction label of the first source domain image and a second prediction label of the second source domain image through a first model;
• obtaining a first loss based on the first prediction label and the second prediction label, wherein the first loss indicates a difference between the first prediction label and the second prediction label;
• and
• updating a parameter of the first model based on the first loss, to obtain a first neural network.

A non-transitory computer readable medium having instructions stored therein, which when executed by a processor, cause the processor to perform operations, the operations comprising:

• obtaining a first source domain image associated with a target domain image and a second source domain image associated with the target domain image;
• obtaining a first prediction label of the first source domain image and a second prediction label of the second source domain image through a first model;
• obtaining a first loss based on the first prediction label and the second prediction label, wherein the first loss indicates a difference between the first prediction label and the second prediction label;
• and
• updating a parameter of the first model based on the first loss, to obtain a first neural network.