CN117609902B - 一种基于图文多模态双曲嵌入的专利ipc分类方法及系统 - Google Patents
一种基于图文多模态双曲嵌入的专利ipc分类方法及系统 Download PDFInfo
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- 238000013528 artificial neural network Methods 0.000 claims description 10
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- G06F18/243—Classification techniques relating to the number of classes
- G06F18/24323—Tree-organised classifiers
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Citations (5)
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CN109670576A (zh) * | 2018-11-29 | 2019-04-23 | 中山大学 | 一种多尺度视觉关注图像描述方法 |
WO2022001333A1 (zh) * | 2020-06-30 | 2022-01-06 | 首都师范大学 | 基于双曲空间表示和标签文本互动的细粒度实体识别方法 |
CN116187163A (zh) * | 2022-12-20 | 2023-05-30 | 北京知呱呱科技服务有限公司 | 一种用于专利文件处理的预训练模型的构建方法及系统 |
WO2023093574A1 (zh) * | 2021-11-25 | 2023-06-01 | 北京邮电大学 | 基于多级图文语义对齐模型的新闻事件搜索方法及系统 |
CN117272237A (zh) * | 2023-11-23 | 2023-12-22 | 北京知呱呱科技有限公司 | 基于多模态融合的专利附图多语言图解生成方法及系统 |
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CN111898636B (zh) * | 2020-06-28 | 2024-05-14 | 华为技术有限公司 | 一种数据处理方法及装置 |
US20240013564A1 (en) * | 2021-05-27 | 2024-01-11 | Akasa, Inc. | System, devices and/or processes for training encoder and/or decoder parameters for object detection and/or classification |
US20230368031A1 (en) * | 2022-05-10 | 2023-11-16 | Microsoft Technology Licensing, Llc | Training Machine-Trained Models by Directly Specifying Gradient Elements |
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Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109670576A (zh) * | 2018-11-29 | 2019-04-23 | 中山大学 | 一种多尺度视觉关注图像描述方法 |
WO2022001333A1 (zh) * | 2020-06-30 | 2022-01-06 | 首都师范大学 | 基于双曲空间表示和标签文本互动的细粒度实体识别方法 |
WO2023093574A1 (zh) * | 2021-11-25 | 2023-06-01 | 北京邮电大学 | 基于多级图文语义对齐模型的新闻事件搜索方法及系统 |
CN116187163A (zh) * | 2022-12-20 | 2023-05-30 | 北京知呱呱科技服务有限公司 | 一种用于专利文件处理的预训练模型的构建方法及系统 |
CN117272237A (zh) * | 2023-11-23 | 2023-12-22 | 北京知呱呱科技有限公司 | 基于多模态融合的专利附图多语言图解生成方法及系统 |
Non-Patent Citations (1)
Title |
---|
基于LSTM模型的中文图书多标签分类研究;邓三鸿;傅余洋子;王昊;;数据分析与知识发现;20170725(07);全文 * |
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