CN115210752A - 缺陷检测方法及装置、模型训练方法及装置及电子设备 - Google Patents
缺陷检测方法及装置、模型训练方法及装置及电子设备 Download PDFInfo
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Abstract
本公开涉及缺陷检测技术领域，具体涉及一种缺陷检测方法及装置、模型训练方法及装置及电子设备，方法包括：获取包含缺陷产品数据的样本数据集，并识别样本数据集的特征信息，特征信息包括样本数据集的样本数量；获取初始模型，其中，初始模型为神经网络模型；基于特征信息配置训练参数；利用样本数据集，并根据训练参数对初始模型进行训练得到目标模型；将样本数据集对应的产品的真实数据输入到目标模型中得到产品的缺陷信息；其中，训练参数包括以下至少一种：学习率下降策略、训练总轮数和测试策略，其中学习率下降策略包括学习率下降次数和下降时的轮数；测试策略包括测试次数和测试时的轮数。本方案节约了人力资源。
Description
PCT国内申请，说明书已公开。
Claims (51)
- PCT国内申请，权利要求书已公开。
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| PCT/CN2021/074263 WO2022160222A1 (zh) | 2021-01-28 | 2021-01-28 | 缺陷检测方法及装置、模型训练方法及装置及电子设备 |
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| CN115210752A true CN115210752A (zh) | 2022-10-18 |
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| Country | Link |
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| US (1) | US20230206420A1 (zh) |
| EP (1) | EP4141786A4 (zh) |
| JP (1) | JP2024504529A (zh) |
| KR (1) | KR20230135038A (zh) |
| CN (1) | CN115210752A (zh) |
| WO (1) | WO2022160222A1 (zh) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN118094106A (zh) * | 2024-04-02 | 2024-05-28 | 安徽农业大学 | 一种微调机制迁移学习的齿轮箱故障诊断方法 |
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| US20230125983A1 (en) * | 2021-10-26 | 2023-04-27 | Capital One Services, Llc | Systems and methods for detecting and managing sensitive information |
| CN115359307B (zh) * | 2022-10-24 | 2023-01-03 | 成都诺比侃科技有限公司 | 一种基于大数据的接触网验损缺陷数据管理方法及*** |
| WO2024087000A1 (en) * | 2022-10-25 | 2024-05-02 | Huawei Technologies Co., Ltd. | Methods and apparatuses for articifical intelligence or machine learning training |
| CN116990450B (zh) * | 2023-07-18 | 2024-04-26 | 欧几里德(苏州)医疗科技有限公司 | 一种角膜塑形镜的缺陷检测方法及*** |
| CN117150298B (zh) * | 2023-09-01 | 2024-06-07 | 中国电建集团江西省水电工程局有限公司 | 基于深度学习的地铁fas火灾报警***的调试方法 |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018090355A1 (zh) * | 2016-11-21 | 2018-05-24 | 中国科学院自动化研究所 | 图像自动裁剪方法 |
| CN106645180A (zh) * | 2017-02-06 | 2017-05-10 | 东旭科技集团有限公司 | 检查基板玻璃缺陷的方法、现场终端及服务器 |
| CN108961238A (zh) * | 2018-07-02 | 2018-12-07 | 北京百度网讯科技有限公司 | 显示屏质量检测方法、装置、电子设备及存储介质 |
| CN109559298A (zh) * | 2018-11-14 | 2019-04-02 | 电子科技大学中山学院 | 一种基于深度学习的乳液泵缺陷检测的方法 |
| CN110675789B (zh) * | 2019-09-29 | 2021-09-14 | 联想(北京)有限公司 | 一种信息处理方法、***及计算机存储介质 |
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2021
- 2021-01-28 EP EP21921830.2A patent/EP4141786A4/en active Pending
- 2021-01-28 JP JP2022571810A patent/JP2024504529A/ja active Pending
- 2021-01-28 KR KR1020237003053A patent/KR20230135038A/ko unknown
- 2021-01-28 CN CN202180000097.4A patent/CN115210752A/zh active Pending
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118094106A (zh) * | 2024-04-02 | 2024-05-28 | 安徽农业大学 | 一种微调机制迁移学习的齿轮箱故障诊断方法 |
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| Publication number | Publication date |
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| KR20230135038A (ko) | 2023-09-22 |
| EP4141786A1 (en) | 2023-03-01 |
| WO2022160222A1 (zh) | 2022-08-04 |
| JP2024504529A (ja) | 2024-02-01 |
| EP4141786A4 (en) | 2023-08-09 |
| US20230206420A1 (en) | 2023-06-29 |
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