CN112418248A - 基于fpga加速器的目标检测方法及系统 - Google Patents
基于fpga加速器的目标检测方法及系统 Download PDFInfo
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- CN112418248A CN112418248A CN202011297548.9A CN202011297548A CN112418248A CN 112418248 A CN112418248 A CN 112418248A CN 202011297548 A CN202011297548 A CN 202011297548A CN 112418248 A CN112418248 A CN 112418248A
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117575004A (zh) * | 2024-01-16 | 2024-02-20 | 北京壁仞科技开发有限公司 | 基于双层决策树的核函数确定方法、计算设备和介质 |
CN117575004B (zh) * | 2024-01-16 | 2024-05-10 | 北京壁仞科技开发有限公司 | 基于双层决策树的核函数确定方法、计算设备和介质 |
Citations (7)
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CN105787470A (zh) * | 2016-03-25 | 2016-07-20 | 黑龙江省电力科学研究院 | 一种基于聚合多通道特征对图像中输电线路杆塔进行检测的方法 |
US20170116003A1 (en) * | 2015-10-27 | 2017-04-27 | International Business Machines Corporation | Dynamic determination of the applicability of a hardware accelerator to a request |
CN107273099A (zh) * | 2017-05-10 | 2017-10-20 | 苏州大学 | 一种基于FPGA的AdaBoost算法加速器及控制方法 |
WO2017190574A1 (zh) * | 2016-05-04 | 2017-11-09 | 北京大学深圳研究生院 | 一种基于聚合通道特征的快速行人检测方法 |
WO2019196394A1 (zh) * | 2018-04-10 | 2019-10-17 | 华南理工大学 | 使用capi加速的fpga医学超声成像系统 |
CN110910434A (zh) * | 2019-11-05 | 2020-03-24 | 东南大学 | 基于fpga高能效实现深度学习视差估计算法的方法 |
CN111459877A (zh) * | 2020-04-02 | 2020-07-28 | 北京工商大学 | 基于FPGA加速的Winograd YOLOv2目标检测模型方法 |
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- 2020-11-19 CN CN202011297548.9A patent/CN112418248B/zh active Active
Patent Citations (7)
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---|---|---|---|---|
US20170116003A1 (en) * | 2015-10-27 | 2017-04-27 | International Business Machines Corporation | Dynamic determination of the applicability of a hardware accelerator to a request |
CN105787470A (zh) * | 2016-03-25 | 2016-07-20 | 黑龙江省电力科学研究院 | 一种基于聚合多通道特征对图像中输电线路杆塔进行检测的方法 |
WO2017190574A1 (zh) * | 2016-05-04 | 2017-11-09 | 北京大学深圳研究生院 | 一种基于聚合通道特征的快速行人检测方法 |
CN107273099A (zh) * | 2017-05-10 | 2017-10-20 | 苏州大学 | 一种基于FPGA的AdaBoost算法加速器及控制方法 |
WO2019196394A1 (zh) * | 2018-04-10 | 2019-10-17 | 华南理工大学 | 使用capi加速的fpga医学超声成像系统 |
CN110910434A (zh) * | 2019-11-05 | 2020-03-24 | 东南大学 | 基于fpga高能效实现深度学习视差估计算法的方法 |
CN111459877A (zh) * | 2020-04-02 | 2020-07-28 | 北京工商大学 | 基于FPGA加速的Winograd YOLOv2目标检测模型方法 |
Non-Patent Citations (2)
Title |
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MITSUNARI, KOICHI 等: ""Hardware Architecture for Fast General Object Detection using Aggregated Channel Features"", 《2018 IEEE ASIAN SOLID-STATE CIRCUITS CONFERENCE 》, pages 55 - 58 * |
李岑,等: ""用于实时目标检测的FPGA神经网络加速器设计"", 《微电子学与计算机》, vol. 37, no. 7, pages 6 - 11 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117575004A (zh) * | 2024-01-16 | 2024-02-20 | 北京壁仞科技开发有限公司 | 基于双层决策树的核函数确定方法、计算设备和介质 |
CN117575004B (zh) * | 2024-01-16 | 2024-05-10 | 北京壁仞科技开发有限公司 | 基于双层决策树的核函数确定方法、计算设备和介质 |
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