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:
Oct. 14, 2025

Filed:

Feb. 03, 2023
Applicant:

Inner Mongolia University of Technology, Hohhot, CN;

Inventors:

Yongsheng Qi, Hohhot, CN;

Peiliang Chen, Hohhot, CN;

Liqiang Liu, Hohhot, CN;

Yongting Li, Hohhot, CN;

Jianqiang Su, Hohhot, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/26 (2022.01); G06V 10/40 (2022.01); G06V 10/776 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06V 10/26 (2022.01); G06V 10/40 (2022.01); G06V 10/776 (2022.01); G06V 10/806 (2022.01); G06V 10/82 (2022.01);
Abstract

An image semantic segmentation algorithm and system based on multi-channel deep weighted aggregation where the image semantic segmentation algorithm is based on multi-channel deep weighted aggregation. The aggregation includes semantic features with definite class information in an image, transition semantic features between low-level semantic and high-level semantic, and semantic features of context logic relationship in an image are extracted by a low-level semantic channel, an auxiliary semantic channel and a high-level semantic channel, respectively. The aggregation further includes three different semantic features obtained in S1 are fused by weighted aggregation to obtain global semantic information of the image; S3, the semantic features output from respective semantic channels in S1 and the global semantic information in S2 are used to compute loss function for training.


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