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Methods and device for generating target re-identification model and performing target re-identification

A technology for generating targets and re-identifying them, applied in the fields of computer vision, deep learning, and artificial intelligence, can solve problems such as waste and underutilization of labeled data

Pending Publication Date: 2020-12-29
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This situation does not make full use of valuable labeled data, resulting in great waste

Method used

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  • Methods and device for generating target re-identification model and performing target re-identification
  • Methods and device for generating target re-identification model and performing target re-identification
  • Methods and device for generating target re-identification model and performing target re-identification

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Embodiment Construction

[0023] Exemplary embodiments of the present application are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0024] figure 1 An exemplary system architecture 100 is shown to which embodiments of the disclosed object re-identification model generation or object re-identification method and the object re-identification model generation or object re-identification apparatus can be applied.

[0025] Such as figure 1 As shown, the system architecture 100 may include terminals ...

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Abstract

The invention discloses a method, a device and equipment for generating a target re-identification model and performing target re-identification, and a storage medium, and relates to the technical field of artificial intelligence, in particular to the technical field of computer vision and deep learning. The specific implementation scheme is as follows: obtaining a labeled sample set, an unlabeledsample set and an initialization model obtained by supervised training; performing feature extraction on each sample in the label-free sample set by using an initialization model; clustering the features extracted from the label-free sample set by using a clustering algorithm; for each sample in the label-free sample set, distributing a pseudo label to the sample according to the corresponding class cluster of the sample in the feature space; and mixing the sample set with the pseudo label and the sample set with the label to serve as a training sample set, and performing supervised trainingon the initialization model to obtain a target re-identification model. According to the embodiment, the labeled data is fully utilized to perform model training, and the model training speed and precision are improved, so that the re-identification accuracy is improved.

Description

technical field [0001] This application relates to the technical field of artificial intelligence, specifically the technical fields of computer vision and deep learning. Background technique [0002] Artificial intelligence is a discipline that studies the use of computers to simulate certain human thinking processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.), both at the hardware level and at the software level. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, and big data processing; artificial intelligence software technologies mainly include computer vision technology, speech recognition technology, natural language processing technology, and machine learning / depth Learning, big data processing technology, knowledge map technology and other major directions. [0003] Target re-identification is also called ta...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/52G06N3/045G06F18/23G06F18/214G06F18/253G06V10/82G06V10/762G06V10/764G06V10/7753G06V20/64G06V40/10G06V2201/07G06F18/2178
Inventor 王之港王健丁二锐孙昊
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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