CN112020723A - 用于语义分割的分类神经网络的训练方法及装置、电子设备 - Google Patents
用于语义分割的分类神经网络的训练方法及装置、电子设备 Download PDFInfo
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Abstract
一种用于语义分割的分类神经网络的训练装置及方法、电子设备。即使在训练网络时使用了较多数量的训练图像,由于在每次训练时能够部分利用之前训练时已经获得的梯度,因此能够有效减少计算量并适用于硬件资源有限的情况,并且,由于计算量的减少,训练速度加快,能够缩短训练完成的时间,另外,由于每次训练时都使用了新的数据,使得在使用有限的硬件资源的条件下仍然能够保证训练的精度。
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PCT国内申请,说明书已公开。
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CN111783782B (zh) * | 2020-05-29 | 2022-08-05 | 河海大学 | 融合改进UNet和SegNet的遥感图像语义分割方法 |
CN111818557B (zh) * | 2020-08-04 | 2023-02-28 | 中国联合网络通信集团有限公司 | 网络覆盖问题识别方法、装置及系统 |
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CN105488515A (zh) * | 2014-09-17 | 2016-04-13 | 富士通株式会社 | 训练卷积神经网路分类器的方法和图像处理装置 |
CN105512684A (zh) * | 2015-12-09 | 2016-04-20 | 江苏大为科技股份有限公司 | 基于主成分分析卷积神经网络的车标自动识别方法 |
CN105654176A (zh) * | 2014-11-14 | 2016-06-08 | 富士通株式会社 | 神经网络系统及神经网络系统的训练装置和方法 |
US20170262735A1 (en) * | 2016-03-11 | 2017-09-14 | Kabushiki Kaisha Toshiba | Training constrained deconvolutional networks for road scene semantic segmentation |
CN108062551A (zh) * | 2017-06-28 | 2018-05-22 | 浙江大学 | 一种基于邻接矩阵的图特征提取系统、图分类系统和方法 |
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US5359699A (en) * | 1991-12-02 | 1994-10-25 | General Electric Company | Method for using a feed forward neural network to perform classification with highly biased data |
CN103440635B (zh) * | 2013-09-17 | 2016-06-22 | 厦门美图网科技有限公司 | 一种基于学习的对比度受限自适应直方图均衡方法 |
CN104866900B (zh) * | 2015-01-29 | 2018-01-19 | 北京工业大学 | 一种反卷积神经网络训练方法 |
CN105426930B (zh) * | 2015-11-09 | 2018-11-02 | 国网冀北电力有限公司信息通信分公司 | 一种基于卷积神经网络的变电站属性分割方法 |
CN105389594B (zh) * | 2015-11-19 | 2020-10-27 | 联想(北京)有限公司 | 信息处理方法及电子设备 |
CN106530305B (zh) * | 2016-09-23 | 2019-09-13 | 北京市商汤科技开发有限公司 | 语义分割模型训练和图像分割方法及装置、计算设备 |
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Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
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CN105488515A (zh) * | 2014-09-17 | 2016-04-13 | 富士通株式会社 | 训练卷积神经网路分类器的方法和图像处理装置 |
CN105654176A (zh) * | 2014-11-14 | 2016-06-08 | 富士通株式会社 | 神经网络系统及神经网络系统的训练装置和方法 |
CN105512684A (zh) * | 2015-12-09 | 2016-04-20 | 江苏大为科技股份有限公司 | 基于主成分分析卷积神经网络的车标自动识别方法 |
US20170262735A1 (en) * | 2016-03-11 | 2017-09-14 | Kabushiki Kaisha Toshiba | Training constrained deconvolutional networks for road scene semantic segmentation |
CN108062551A (zh) * | 2017-06-28 | 2018-05-22 | 浙江大学 | 一种基于邻接矩阵的图特征提取系统、图分类系统和方法 |
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