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Patent Searching and Data


Title:
IMAGE CLASSIFICATION METHOD AND SYSTEM BASED ON KNOWLEDGE-DRIVEN DEEP LEARNING
Document Type and Number:
WIPO Patent Application WO/2023/108968
Kind Code:
A1
Abstract:
The present application relates to the technical field of image classification and provides an image classification method and system based on knowledge-driven deep learning. The method comprises: constructing an image classification model based on knowledge-driven deep learning, and training the constructed model; obtaining an image to be classified, and using a feature extraction module to perform feature extraction on the image to obtain a feature vector; and respectively inputting the feature vector into a prior knowledge pre-training module and an image classification module to obtain a prior knowledge multi-label classification result and an image classification result.

Inventors:
E HAIHONG (CN)
SONG MEINA (CN)
HE JIAWEN (CN)
HU TIANYI (CN)
ZHANG RURU (CN)
LI GUOYING (CN)
WANG LIFEI (CN)
YUAN LIFEI (CN)
Application Number:
PCT/CN2022/087216
Publication Date:
June 22, 2023
Filing Date:
April 15, 2022
Export Citation:
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Assignee:
BEIJING UNIV OF POSTS&TELECOMMUNICATIONS (CN)
International Classes:
G06V10/764; G06N3/04
Foreign References:
CN114266920A2022-04-01
CN109934261A2019-06-25
CN108665901A2018-10-16
CN113781465A2021-12-10
CN111429421A2020-07-17
CN111028153A2020-04-17
CN112560668A2021-03-26
US20040052328A12004-03-18
Attorney, Agent or Firm:
TSINGYIHUA INTELLECTUAL PROPERTY LLC (CN)
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