Patent ID: 11961278
Assignee: BEIJING XIAOMI PINECONE ELECTRONICS CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 1:
2. The method of claim 1, wherein training the data feature augmentation network based on the original occluded images further comprises:
inputting the finger template image and the non-finger image into the data feature augmentation network to generate a generation feature of the original occluded image;
inputting the original occluded image into a feature network to extract an original feature of the original occluded image, the occluded-image detection model comprising the feature network;
inputting the generation feature and the original feature of each original occluded image into a discriminative network for training;
obtaining a loss function of the data feature augmentation network and a loss function of the discriminative network in each round of training; and
determining that the training of the data feature augmentation network is finished when both the loss function of the data feature augmentation network and the loss function of the discriminative network converge.