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Patent Searching and Data


Title:
METHOD AND APPARATUS FOR GENERATING TRAINING SAMPLE SET, AND ELECTRONIC DEVICE, STORAGE MEDIUM AND PROGRAM
Document Type and Number:
WIPO Patent Application WO/2023/019908
Kind Code:
A1
Abstract:
Provided in the present disclosure are a method and apparatus for generating a training sample set, and an electronic device, a storage medium and a program. The method comprises: acquiring each unlabeled sample, and a target neural network obtained by performing training on the basis of a training sample set; on the basis of each unlabeled sample and the target neural network, determining an estimated effect degree value of each unlabeled sample regarding network training of the target neural network; selecting, from among unlabeled samples, a target unlabeled sample with the estimated effect degree value meeting a preset requirement; and when a target labeled sample is obtained by performing sample labeling on the selected target unlabeled sample, adding the target labeled sample to the training sample set, so as to obtain an updated training sample set, wherein the updated training sample set is used for performing network training again on the target neural network. By means of the present disclosure, automatic selection of an unlabeled sample is realized on the basis of an estimated effect degree value, which, compared with a manual selection scheme, saves time and labor, and also reduces subsequent labeling costs.

Inventors:
ZHONG HUAPING (CN)
LIU ZHUOMING (CN)
HE CONGHUI (CN)
Application Number:
PCT/CN2022/078350
Publication Date:
February 23, 2023
Filing Date:
February 28, 2022
Export Citation:
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Assignee:
SHANGHAI SENSETIME INTELLIGENT TECH CO LTD (CN)
International Classes:
G06K9/62
Foreign References:
CN113642659A2021-11-12
CN110245721A2019-09-17
CN111539443A2020-08-14
CN113177119A2021-07-27
CN111126574A2020-05-08
US20180004719A12018-01-04
Attorney, Agent or Firm:
CHINA PAT INTELLECTUAL PROPERTY OFFICE (CN)
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