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:
Jul. 01, 2025

Filed:

Jun. 03, 2022
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Handong Zhao, San Jose, CA (US);

Zhe Lin, Fremont, CA (US);

Sheng Li, San Jose, CA (US);

Mingyang Ling, San Francisco, CA (US);

Jiuxiang Gu, Singapore, SG;

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/022 (2023.01); G06F 18/243 (2023.01); G06N 3/045 (2023.01); G06N 3/084 (2023.01); G06V 10/20 (2022.01); G06V 10/426 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06N 5/022 (2013.01); G06F 18/24323 (2023.01); G06N 3/045 (2023.01); G06N 3/084 (2013.01); G06V 10/255 (2022.01); G06V 10/426 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01);
Abstract

Methods, systems, and non-transitory computer readable storage media are disclosed for generating semantic scene graphs for digital images using an external knowledgebase for feature refinement. For example, the disclosed system can determine object proposals and subgraph proposals for a digital image to indicate candidate relationships between objects in the digital image. The disclosed system can then extract relationships from an external knowledgebase for refining features of the object proposals and the subgraph proposals. Additionally, the disclosed system can generate a semantic scene graph for the digital image based on the refined features of the object/subgraph proposals. Furthermore, the disclosed system can update/train a semantic scene graph generation network based on the generated semantic scene graph. The disclosed system can also reconstruct the image using object labels based on the refined features to further update/train the semantic scene graph generation network.


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