JP6968270B2 - 画像の記述文位置決定方法及び装置、電子機器並びに記憶媒体 - Google Patents
画像の記述文位置決定方法及び装置、電子機器並びに記憶媒体 Download PDFInfo
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- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
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- G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
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Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
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| CN201811459428.7A CN109614613B (zh) | 2018-11-30 | 2018-11-30 | 图像的描述语句定位方法及装置、电子设备和存储介质 |
| CN201811459428.7 | 2018-11-30 | ||
| PCT/CN2019/086274 WO2020107813A1 (zh) | 2018-11-30 | 2019-05-09 | 图像的描述语句定位方法及装置、电子设备和存储介质 |
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| JP2021509979A JP2021509979A (ja) | 2021-04-08 |
| JP2021509979A5 JP2021509979A5 (https=) | 2021-05-20 |
| JP6968270B2 true JP6968270B2 (ja) | 2021-11-17 |
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| CN109614613B (zh) * | 2018-11-30 | 2020-07-31 | 北京市商汤科技开发有限公司 | 图像的描述语句定位方法及装置、电子设备和存储介质 |
| CN110096707B (zh) * | 2019-04-29 | 2020-09-29 | 北京三快在线科技有限公司 | 生成自然语言的方法、装置、设备及可读存储介质 |
| CN110263755B (zh) * | 2019-06-28 | 2021-04-27 | 上海鹰瞳医疗科技有限公司 | 眼底图像识别模型训练方法、眼底图像识别方法和设备 |
| US11308492B2 (en) | 2019-07-03 | 2022-04-19 | Sap Se | Anomaly and fraud detection with fake event detection using pixel intensity testing |
| US20210004795A1 (en) * | 2019-07-03 | 2021-01-07 | Sap Se | Anomaly and fraud detection using duplicate event detector |
| US12039615B2 (en) | 2019-07-03 | 2024-07-16 | Sap Se | Anomaly and fraud detection with fake event detection using machine learning |
| CN110413819B (zh) * | 2019-07-12 | 2022-03-29 | 深兰科技(上海)有限公司 | 一种图片描述信息的获取方法及装置 |
| CN110516677A (zh) * | 2019-08-23 | 2019-11-29 | 上海云绅智能科技有限公司 | 一种神经网络识别模型、目标识别方法及系统 |
| US11461613B2 (en) * | 2019-12-05 | 2022-10-04 | Naver Corporation | Method and apparatus for multi-document question answering |
| CN111277759B (zh) * | 2020-02-27 | 2021-08-31 | Oppo广东移动通信有限公司 | 构图提示方法、装置、存储介质及电子设备 |
| CN111738186B (zh) * | 2020-06-28 | 2024-02-02 | 香港中文大学(深圳) | 目标定位方法、装置、电子设备及可读存储介质 |
| CN111859005B (zh) * | 2020-07-01 | 2022-03-29 | 江西理工大学 | 一种跨层多模型特征融合与基于卷积解码的图像描述方法 |
| KR102451299B1 (ko) * | 2020-09-03 | 2022-10-06 | 고려대학교 세종산학협력단 | 동물의 상황인지를 통한 캡션 생성 시스템 |
| CN112084319B (zh) * | 2020-09-29 | 2021-03-16 | 四川省人工智能研究院(宜宾) | 一种基于动作的关系网络视频问答系统及方法 |
| WO2022130509A1 (ja) * | 2020-12-15 | 2022-06-23 | 日本電信電話株式会社 | 物体検出装置、物体検出方法、及び物体検出プログラム |
| CN113298083B (zh) * | 2021-02-25 | 2025-03-07 | 阿里巴巴集团控股有限公司 | 一种数据处理方法及装置 |
| US12147497B2 (en) * | 2021-05-19 | 2024-11-19 | Baidu Usa Llc | Systems and methods for cross-lingual cross-modal training for multimodal retrieval |
| CN113761153B (zh) * | 2021-05-19 | 2023-10-24 | 腾讯科技(深圳)有限公司 | 基于图片的问答处理方法、装置、可读介质及电子设备 |
| US12482464B2 (en) | 2021-12-07 | 2025-11-25 | Deepmind Technologies Limited | Controlling interactive agents using multi-modal inputs |
| CN117911727A (zh) * | 2022-07-08 | 2024-04-19 | 鸿海精密工业股份有限公司 | 辨识方法及其电子装置 |
| JP7835304B2 (ja) * | 2022-11-14 | 2026-03-25 | Ntt株式会社 | 行動認識学習装置、行動認識推定装置、行動認識学習方法、及び行動認識学習プログラム |
| CN116012835B (zh) * | 2023-02-20 | 2026-02-24 | 张国栋 | 一种基于文本分割的两阶段场景文本擦除方法 |
| CN118037888B (zh) * | 2024-02-01 | 2024-10-01 | 嘉达鼎新信息技术(苏州)有限公司 | 基于图像分析和语言描述的ai图像生成方法及系统 |
Family Cites Families (25)
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| CN108229518B (zh) * | 2017-02-15 | 2020-07-10 | 北京市商汤科技开发有限公司 | 基于语句的图像检测方法、装置和系统 |
| CN108229272B (zh) * | 2017-02-23 | 2020-11-27 | 北京市商汤科技开发有限公司 | 视觉关系检测方法和装置及视觉关系检测训练方法和装置 |
| CN108694398B (zh) * | 2017-04-06 | 2020-10-30 | 杭州海康威视数字技术股份有限公司 | 一种图像分析方法及装置 |
| CN108228686B (zh) * | 2017-06-15 | 2021-03-23 | 北京市商汤科技开发有限公司 | 用于实现图文匹配的方法、装置和电子设备 |
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| CN108108771A (zh) * | 2018-01-03 | 2018-06-01 | 华南理工大学 | 基于多尺度深度学习的图像问答方法 |
| US10643112B1 (en) * | 2018-03-27 | 2020-05-05 | Facebook, Inc. | Detecting content items violating policies of an online system using machine learning based model |
| CN108549850B (zh) * | 2018-03-27 | 2021-07-16 | 联想(北京)有限公司 | 一种图像识别方法及电子设备 |
| CN108764083A (zh) * | 2018-05-17 | 2018-11-06 | 淘然视界(杭州)科技有限公司 | 基于自然语言表达的目标检测方法、电子设备、存储介质 |
| CN108874360B (zh) * | 2018-06-27 | 2023-04-07 | 百度在线网络技术(北京)有限公司 | 全景内容定位方法和装置 |
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| KR102454930B1 (ko) | 2022-10-14 |
| WO2020107813A1 (zh) | 2020-06-04 |
| JP2021509979A (ja) | 2021-04-08 |
| TW202022561A (zh) | 2020-06-16 |
| KR20200066617A (ko) | 2020-06-10 |
| SG11202003836YA (en) | 2020-07-29 |
| CN109614613A (zh) | 2019-04-12 |
| CN109614613B (zh) | 2020-07-31 |
| TWI728564B (zh) | 2021-05-21 |
| US20200226410A1 (en) | 2020-07-16 |
| US11455788B2 (en) | 2022-09-27 |
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