Title:
META-LEARNING-BASED TARGET CLASSIFICATION METHOD AND APPARATUS, DEVICE AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2022/134586
Kind Code:
A1
Abstract:
A meta-learning-based target classification method, related to the technical field of artificial intelligence. The method comprises: obtaining newly added data, and constructing a reference sample according to the newly added data (S102); obtaining a target to be classified according to the newly added data and the reference sample (S104); inputting the reference sample and said target into a pre-generated target classification model to determine a first probability that said target belongs to a classification to which the reference sample belongs (S106), wherein the target classification model is trained on the basis of a meta-learning mode; and determining the classification to which said target belongs according to the first probability (S108).
Inventors:
LIU YU (CN)
XU GUOQIANG (CN)
XU GUOQIANG (CN)
Application Number:
PCT/CN2021/109571
Publication Date:
June 30, 2022
Filing Date:
July 30, 2021
Export Citation:
Assignee:
ONE CONNECT SMART TECH CO LTD SHENZHEN (CN)
International Classes:
G06K9/62
Foreign References:
| CN112613555A | 2021-04-06 | |||
| CN109961089A | 2019-07-02 | |||
| CN111985581A | 2020-11-24 | |||
| CN111582360A | 2020-08-25 | |||
| US20200327445A1 | 2020-10-15 |
Attorney, Agent or Firm:
ADVANCE CHINA IP LAW OFFICE (CN)
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