METHOD AND APPARATUS FOR GENERATING TARGET RE-RECOGNITION MODEL AND RE-RECOGNIZING TARGET

摘要

The present disclosure provides a method, apparatus, device and storage medium for generating a target re-recognition model and a method, apparatus, device and storage medium for re-recognizing a target, relates to the technical field of artificial intelligence, and specifically, relates to the technical fields of computer vision and deep learning. A specific implementation includes: 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 sample according to a cluster corresponding to the 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 supervised training on the initialization model to obtain a target re-recognition model. This implementation makes full use of labeled data for model training and improves the speed and accuracy of model training, thereby improving the accuracy of re-recognition.