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

机译:用于生成目标重新识别模型和重新识别目标的方法和装置

摘要

A method, an apparatus, device and a storage medium for generating a target re-recognition model are provided. The method may include: 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.
机译:提供了一种用于生成目标重新识别模型的方法,装置,装置和存储介质。 该方法可以包括:获取一组标记的样本,一组未标记的样本和通过监督培训获得的初始化模型; 使用初始化模型对未标记的样本集中的每个样本执行特征提取; 通过使用聚类算法从未标记的样本集中提取的聚类功能; 为未标记的样本集中的每个样本分配,根据特征空间中对应于样品的簇对样品进行伪标签; 并将一组样本与伪标签和标记样本的集合混合为一组训练样本,并对初始化模型执行监督培训以获得目标重新识别模型。

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