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Patent Searching and Data


Title:
HYPER-PARAMETER SEARCH METHOD AND APPARATUS, COMPUTER DEVICE AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2023/226259
Kind Code:
A1
Abstract:
The present application relates to a hyper-parameter search method and apparatus, a computer device and a storage medium. The method comprises: obtaining a dataset which comprises visually defective sample images under a plurality of industrial settings, each sample image corresponding to defect information; determining feature parameters of the dataset according to the sample images in the dataset and the corresponding defect information; determining, according to the feature parameters, the search space of a semantic segmentation model and a model category of the semantic segmentation model, wherein the semantic segmentation model is used for performing defect detection, and the model category of the semantic segmentation model is used for determining an algorithm for the semantic segmentation model to perform defect detection; and determining the hyper-parameters of the semantic segmentation model according to the search space and model category of the semantic segmentation model. The search space of the semantic segmentation model and the model category of the semantic segmentation model are automatically determined according to the feature parameters, thereby realizing the automatic determination of the search space and the model category of the semantic segmentation model.

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Inventors:
FANG XI (CN)
YAN ZEXIN (CN)
LIU SHU (CN)
SHEN XIAOYONG (CN)
LV JIANGBO (CN)
Application Number:
PCT/CN2022/120479
Publication Date:
November 30, 2023
Filing Date:
September 22, 2022
Export Citation:
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Assignee:
SHENZHEN SMARTMORE TECH CO LTD (CN)
SUZHOU SMARTMORE INTELLIGENT TECH CO LTD (CN)
International Classes:
G06V10/26; G06N3/08; G06V10/774; G06V10/82
Foreign References:
CN114663662A2022-06-24
CN113869521A2021-12-31
CN110110862A2019-08-09
US20210073588A12021-03-11
Attorney, Agent or Firm:
UNITALEN ATTORNEYS AT LAW CO., LTD. (CN)
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