CN113065495B - 图像相似度的计算方法、目标对象重识别方法及系统 - Google Patents
图像相似度的计算方法、目标对象重识别方法及系统 Download PDFInfo
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CN113537888A (zh) * | 2021-07-15 | 2021-10-22 | 超节点创新科技(深圳)有限公司 | 多任务协同的行李智能跟踪监测系统、方法及相关设备 |
CN113657414B (zh) * | 2021-10-19 | 2022-02-11 | 广州微林软件有限公司 | 一种物体识别方法 |
CN115100591A (zh) * | 2022-06-17 | 2022-09-23 | 哈尔滨工业大学 | 基于联合学习的多目标跟踪与目标重识别系统及方法 |
CN115618452B (zh) * | 2022-12-08 | 2023-03-10 | 湖南大学 | 具有设计师风格的服装图像智能生成系统 |
Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106778517A (zh) * | 2016-11-25 | 2017-05-31 | 河南高速公路驻信段改扩建工程有限公司 | 一种监控视频序列图像车辆再识别的方法 |
CN107958247A (zh) * | 2018-01-17 | 2018-04-24 | 百度在线网络技术(北京)有限公司 | 用于人脸图像识别的方法和装置 |
CN108009528A (zh) * | 2017-12-26 | 2018-05-08 | 广州广电运通金融电子股份有限公司 | 基于Triplet Loss的人脸认证方法、装置、计算机设备和存储介质 |
CN108230291A (zh) * | 2017-03-30 | 2018-06-29 | 北京市商汤科技开发有限公司 | 物体识别系统训练方法、物体识别方法、装置和电子设备 |
CN108447091A (zh) * | 2018-03-27 | 2018-08-24 | 北京颂泽科技有限公司 | 目标定位方法、装置、电子设备及存储介质 |
CN109101865A (zh) * | 2018-05-31 | 2018-12-28 | 湖北工业大学 | 一种基于深度学习的行人重识别方法 |
CN109165566A (zh) * | 2018-08-01 | 2019-01-08 | 中国计量大学 | 一种基于新型损失函数的人脸识别卷积神经网络训练方法 |
CN109165589A (zh) * | 2018-08-14 | 2019-01-08 | 北京颂泽科技有限公司 | 基于深度学习的车辆重识别方法和装置 |
CN109614989A (zh) * | 2018-11-13 | 2019-04-12 | 平安科技(深圳)有限公司 | 快速模型的训练方法、装置、计算机设备及存储介质 |
CN110009052A (zh) * | 2019-04-11 | 2019-07-12 | 腾讯科技(深圳)有限公司 | 一种图像识别的方法、图像识别模型训练的方法及装置 |
CN111027378A (zh) * | 2019-11-01 | 2020-04-17 | 深圳大学 | 行人重识别的方法、装置、终端及存储介质 |
CN111523351A (zh) * | 2019-02-02 | 2020-08-11 | 北京地平线机器人技术研发有限公司 | 神经网络的训练方法、装置和电子设备 |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11514244B2 (en) * | 2015-11-11 | 2022-11-29 | Adobe Inc. | Structured knowledge modeling and extraction from images |
-
2021
- 2021-04-13 CN CN202110395255.2A patent/CN113065495B/zh active Active
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106778517A (zh) * | 2016-11-25 | 2017-05-31 | 河南高速公路驻信段改扩建工程有限公司 | 一种监控视频序列图像车辆再识别的方法 |
CN108230291A (zh) * | 2017-03-30 | 2018-06-29 | 北京市商汤科技开发有限公司 | 物体识别系统训练方法、物体识别方法、装置和电子设备 |
CN108009528A (zh) * | 2017-12-26 | 2018-05-08 | 广州广电运通金融电子股份有限公司 | 基于Triplet Loss的人脸认证方法、装置、计算机设备和存储介质 |
CN107958247A (zh) * | 2018-01-17 | 2018-04-24 | 百度在线网络技术(北京)有限公司 | 用于人脸图像识别的方法和装置 |
CN108447091A (zh) * | 2018-03-27 | 2018-08-24 | 北京颂泽科技有限公司 | 目标定位方法、装置、电子设备及存储介质 |
CN109101865A (zh) * | 2018-05-31 | 2018-12-28 | 湖北工业大学 | 一种基于深度学习的行人重识别方法 |
CN109165566A (zh) * | 2018-08-01 | 2019-01-08 | 中国计量大学 | 一种基于新型损失函数的人脸识别卷积神经网络训练方法 |
CN109165589A (zh) * | 2018-08-14 | 2019-01-08 | 北京颂泽科技有限公司 | 基于深度学习的车辆重识别方法和装置 |
CN109614989A (zh) * | 2018-11-13 | 2019-04-12 | 平安科技(深圳)有限公司 | 快速模型的训练方法、装置、计算机设备及存储介质 |
CN111523351A (zh) * | 2019-02-02 | 2020-08-11 | 北京地平线机器人技术研发有限公司 | 神经网络的训练方法、装置和电子设备 |
CN110009052A (zh) * | 2019-04-11 | 2019-07-12 | 腾讯科技(深圳)有限公司 | 一种图像识别的方法、图像识别模型训练的方法及装置 |
CN111027378A (zh) * | 2019-11-01 | 2020-04-17 | 深圳大学 | 行人重识别的方法、装置、终端及存储介质 |
Non-Patent Citations (7)
Title |
---|
Bi-directional Exponential Angular Triplet Loss for RGB-Infrared Person Re-Identification;Hanrong Ye 等;《arXiv》;1-13 * |
GhostNet: More Features from Cheap Operations;Kai Han 等;《arXiv》;1-10 * |
Multi-Label-Based Similarity Learning for Vehicle Re-Identification;ALFASLY, Saghir 等;《IEEE Access》;第7卷;162605-162616 * |
Person Re-Identification Using Additive Distance Constraint With Similar Labels Loss;GUOFA LI 等;《IEEE Access》;第8卷;168111-168120 * |
卷积神经网络模型发展及应用;严春满 等;《计算机科学与探索》;第15卷(第1期);27-46 * |
基于深度学习的行人检测与重识别系统设计及实现;宋卫东;《中国优秀硕士学位论文全文数据库 信息科技辑》(第2021年02期);I138-2216 * |
基于视频监控的人员重识别系统设计;李星儒 等;《电子技术》;第50卷(第1期);132-133 * |
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