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:
Sep. 19, 2023

Filed:

Jan. 29, 2021
Applicant:

Jiangsu University, Jiangsu, CN;

Inventors:

Zhe Liu, Jiangsu, CN;

Jie Pang, Jiangsu, CN;

Yuqing Song, Jiangsu, CN;

Yi Liu, Jiangsu, CN;

Assignee:

Jiangsu University, Jiangsu, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/26 (2022.01); G06V 10/25 (2022.01); G06V 10/24 (2022.01); G06V 10/80 (2022.01); G06V 10/32 (2022.01); G06V 10/77 (2022.01); G06V 10/42 (2022.01); G06V 10/82 (2022.01); G06V 10/764 (2022.01);
U.S. Cl.
CPC ...
G06V 10/267 (2022.01); G06V 10/247 (2022.01); G06V 10/25 (2022.01); G06V 10/32 (2022.01); G06V 10/42 (2022.01); G06V 10/764 (2022.01); G06V 10/7715 (2022.01); G06V 10/806 (2022.01); G06V 10/82 (2022.01);
Abstract

The present invention provides an apparatus and method for image classification and segmentation based on a feature-guided network, a device, and a medium, and belongs to the technical field of deep learning. A feature-guided classification network and feature-guided segmentation network of the present invention include basic unit blocks. A local feature is enhanced and a global feature is extracted among the basic unit blocks. This resolves a problem that features are not fully utilized in existing image classification and image segmentation network models. In this way, a trained feature-guided classification network and feature-guided segmentation network have better effects and are more robust. The present invention selects the feature-guided classification network or the feature-guided segmentation network based on a requirement of an input image and outputs a corresponding category or segmented image, to resolve a problem that the existing classification or segmentation network model has an unsatisfactory classification or segmentation effect.


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