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:
Dec. 03, 2024

Filed:

Jun. 29, 2022
Applicant:

Shandong Jianzhu University, Jinan, CN;

Inventors:

Xiushan Nie, Jinan, CN;

Letian Wang, Jinan, CN;

Xingbo Liu, Jinan, CN;

Shaohua Wang, Jinan, CN;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/56 (2019.01); G06F 16/51 (2019.01); G06V 10/74 (2022.01); G06V 10/77 (2022.01); G06V 10/776 (2022.01); G06V 10/94 (2022.01);
U.S. Cl.
CPC ...
G06F 16/56 (2019.01); G06F 16/51 (2019.01); G06V 10/761 (2022.01); G06V 10/7715 (2022.01); G06V 10/776 (2022.01); G06V 10/95 (2022.01);
Abstract

The present disclosure provides a multi-task deep Hash learning-based retrieval method for massive logistics product images. According to the idea of multi-tasking, Hash codes of a plurality of lengths can be learned simultaneously as high-level image representation. Compared with single-tasking in the prior art, the method overcomes shortcomings such as waste of hardware resources and high time cost caused by model retraining under single-tasking. Compared with the traditional idea of learning a single Hash code as an image representation and using it for retrieval, information association among Hash codes of a plurality of lengths is mined, and the mutual information loss is designed to improve the representational capacity of the Hash codes, which addresses the poor representational capacity of a single Hash code, and thus improves the retrieval performance of Hash codes.


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