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. 23, 2025

Filed:

Jul. 29, 2021
Applicant:

Inspur (Beijing) Electronic Information Industry Co., Ltd., Beijing, CN;

Inventors:

Lingyan Liang, Beijing, CN;

Gang Dong, Beijing, CN;

Yaqian Zhao, Beijing, CN;

Qichun Cao, Beijing, CN;

Wenfeng Yin, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/82 (2022.01); G06N 3/09 (2023.01); G06V 10/40 (2022.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); G06V 10/98 (2022.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); G06N 3/09 (2023.01); G06V 10/40 (2022.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); G06V 10/98 (2022.01);
Abstract

An image processing method, apparatus and device, and a readable storage medium are disclosed, including: obtaining a target image; inputting the target image into a quantized target deep neural network model for classification/detection to obtain an output result; and processing the target image according to a policy corresponding to the output result. A process of performing quantization to obtain the target deep neural network model includes: obtaining a pre-trained floating point type deep neural network model; extracting weight features of a deep neural network model; determining a quantization policy using the weight features; and quantizing the deep neural network model according to the quantization policy to obtain the target deep neural network model.


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