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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.

Patent No.:

US 12229220 B1

PDFFull Text
Date of Patent:
Feb. 18, 2025

Filed:

Nov. 06, 2020

Similarity determining method and device, network training method and device, search method and device, and electronic device and storage medium

Applicant:

Boe Technology Group Co., Ltd., Beijing, CN;

Inventor:

Zhenzhong Zhang, Beijing, CN;

Assignee:

BOE TECHNOLOGY GROUP CO., LTD., Beijing, CN;

Attorney:

Chiwin Law LLC

Primary Examiner:

Ruiping Li

Int. Cl.
CPC ...
G06F 18/22 (2023.01); G06F 16/903 (2019.01); G06F 18/213 (2023.01); G06F 18/214 (2023.01); G06N 3/08 (2023.01); G06V 10/94 (2022.01); G06V 30/10 (2022.01); G06V 30/262 (2022.01); G06V 30/40 (2022.01); G16H 10/60 (2018.01); G16H 30/20 (2018.01);
U.S. Cl.
CPC ...
G06F 18/22 (2023.01); G06F 16/90335 (2019.01); G06F 18/213 (2023.01); G06F 18/214 (2023.01); G06N 3/08 (2013.01); G06V 10/95 (2022.01); G06V 30/274 (2022.01); G06V 30/40 (2022.01); G16H 10/60 (2018.01); G16H 30/20 (2018.01); G06V 30/10 (2022.01);
Abstract

A method and device of similarity determination, network training, and search, an electronic device, and a storage medium are provided. The data similarity determination method includes: acquiring first data of a first object; mapping the first sub-data as a first semantic representation in a semantic comparison space, where the semantic comparison space enables a similarity between a semantic representation obtained by mapping data of the first modality to the semantic comparison space and a semantic representation obtained by mapping data of the second modality to the semantic comparison space to be computed; acquiring second data of a second object; mapping the second sub-data as a second semantic representation in the semantic comparison space; and calculating a similarity between the first data and the second data based on at least the first semantic representation and the second semantic representation.

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