Patent ID: 11915484
Assignee: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 5:
6. An electronic device, comprising:
at least one processor; and
a memory storing instructions executable by the at least one processor, the instructions, when executed by the at least one processor, cause the at least one processor to perform operations comprising:
acquiring a set of labeled samples, a set of unlabeled samples and an initialization model obtained through supervised training;
performing feature extraction on each sample in the set of the unlabeled samples by using the initialization model;
clustering features extracted from the set of the unlabeled samples by using a clustering algorithm;
assigning, for each sample in the set of the unlabeled samples, a pseudo label to the each sample according to a cluster corresponding to the each sample in a feature space; and
mixing a set of samples with a pseudo label and the set of the labeled samples as a set of training samples, and performing the supervised training on the initialization model to obtain a target re-recognition model, wherein mixing the set of samples with the pseudo label and the set of the labeled samples as the set of training samples, and performing the supervised training on the initialization model to obtain the target re-recognition model, comprises:
performing feature extraction on each sample in the set of the labeled samples by using the initialization model;
fusing, by using a graph convolutional neural network, a feature of each sample in the set of the samples with the pseudo label and a feature of each sample in the set of the labeled samples to obtain a fused feature of each sample; and
training the initialization model based on the fused feature of each sample in the set of the samples with the pseudo label and the fused feature of each sample in the set of the labeled samples to obtain the target re-recognition model.