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PERSON RE-IDENTIFICATION NETWORK TRAINING METHOD AND PERSON RE-IDENTIFICATION METHOD AND APPARATUS

机译:人重新识别网络训练方法和人员重新识别方法和装置

摘要

Provided by the present application are a person re-identification network training method and a person re-identification method and apparatus. The present application relates to the field of artificial intelligence, and relates in particular to the field of computer vision. The method comprises: obtaining M training images and annotation data of the M training images; performing initialization processing on a network parameter of a person re-identification network so as to obtain an initial value of the network parameter of the person re-identification network; inputting a batch of training images among the M training images into the person re-identification network to perform feature extraction so as to obtain a feature vector of each training image in the batch of training images; then determining a loss function according to the feature vectors of the batch of training images; and obtaining, according to a function value of the loss function, a person re-identification network that meets a preset requirement. In the present application, a person re-identification network having good performance may be trained when data is labelled using a single image photographing device.
机译:由本申请提供的是一个人重新识别网络训练方法和人重新识别方法和设备。本申请涉及人工智能领域,特别涉及计算机视野的领域。该方法包括:获得M训练图像的M训练图像和注释数据;对人重新识别网络的网络参数执行初始化处理,以便获得人重新识别网络的网络参数的初始值;将M训练图像中的批次训练图像输入到人重新识别网络中以执行特征提取,以便在批量训练图像中获得每个训练图像的特征向量;然后根据批量训练图像的特征向量确定损耗功能;并根据损失函数的函数值获得符合预设要求的人重新识别网络。在本申请中,当使用单个图像拍摄设备标记数据时,可以训练具有良好性能的人重新识别网络。

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