首页> 外国专利> APPARATUS AND METHOD FOR TRAINING CLASSIFICATION MODEL AND APPARATUS FOR PERFORMING CLASSIFICATION BY USING CLASSIFICATION MODEL

APPARATUS AND METHOD FOR TRAINING CLASSIFICATION MODEL AND APPARATUS FOR PERFORMING CLASSIFICATION BY USING CLASSIFICATION MODEL

机译:训练分类模型的装置和方法,以及使用分类模型进行分类的装置

摘要

An apparatus and method for training a classification model and an apparatus for performing classification by using a classification model are provided. The apparatus for training a classification model includes: a feature extraction unit configured to set, with respect to each training set of a first predetermined number of training sets, feature extraction layers respectively, and extract features of a sample image, where at least two of the training sets at least partially overlap; a feature fusion unit configured to set, with respect to each training set, feature fusion layers respectively, and perform a fusion on the extracted features of the sample image; and a loss determination unit configured to set, with respect to each training set, a loss determination layer respectively, calculate a loss function of the sample image based on the fused feature of the sample image, and train a classification model based on the loss function. The first predetermined number of training sets share at least one layer of feature fusion layers and feature extraction layers set with respect to each training set.
机译:提供了用于训练分类模型的设备和方法以及用于通过使用分类模型执行分类的设备。用于训练分类模型的设备包括:特征提取单元,被配置为针对第一预定数量的训练集合的每个训练集合分别设置特征提取层,并提取样本图像的特征,其中至少两个训练集至少部分重叠;特征融合单元,被配置为针对每个训练集分别设置特征融合层,并对提取的样本图像特征进行融合;损失确定单元,用于分别为每个训练集设置损失确定层,并基于样本图像的融合特征计算样本图像的损失函数,并基于损失函数训练分类模型。相对于每个训练集,第一预定数量的训练集共享至少一层特征融合层和特征提取层集。

著录项

  • 公开/公告号EP3699819A1

    专利类型

  • 公开/公告日2020-08-26

    原文格式PDF

  • 申请/专利权人 FUJITSU LIMITED;

    申请/专利号EP20200151409

  • 发明设计人 ZHANG MENG;LIU RUJIE;

    申请日2020-01-13

  • 分类号G06K9/46;G06N3/04;

  • 国家 EP

  • 入库时间 2022-08-21 11:39:43

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号