The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 27, 2024

Filed:

Jun. 17, 2021
Applicant:

Beijing Baidu Netcom Science and Technology Co., Ltd., Beijing, CN;

Inventors:

Zhigang Wang, Beijing, CN;

Jian Wang, Beijing, CN;

Errui Ding, Beijing, CN;

Hao Sun, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/46 (2006.01); G06K 9/62 (2022.01); G06V 20/52 (2022.01); G06F 18/23 (2023.01); G06F 18/214 (2023.01); G06F 18/21 (2023.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/64 (2022.01); G06V 40/10 (2022.01);
U.S. Cl.
CPC ...
G06V 20/52 (2022.01); G06F 18/214 (2023.01); G06F 18/2178 (2023.01); G06F 18/23 (2023.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); G06V 10/7753 (2022.01); G06V 10/82 (2022.01); G06V 20/64 (2022.01); G06V 40/10 (2022.01); G06V 2201/07 (2022.01);
Abstract

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.


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