• 主题
高级搜索  >
历史搜索 清空历史
首页> 外国专利> Learning methods and learning devices that generate training data acquired from virtual data in the virtual world using GAN to reduce annotation costs required for the learning process of autonomous driving neural networks, and test methods and test devices that use them.

Learning methods and learning devices that generate training data acquired from virtual data in the virtual world using GAN to reduce annotation costs required for the learning process of autonomous driving neural networks, and test methods and test devices that use them.

机译：学习方法和学习设备，用于使用GaN在虚拟世界中从虚拟数据中获取的培训数据，以减少自主驱动神经网络的学习过程所需的注释成本，以及使用它们的测试方法和测试设备。

页面导航
  • 摘要
  • 著录项
  • 相似文献

摘要

A learning method for transforming a virtual video on a virtual world to a more real-looking video is provided. And the method includes steps of: (a) a learning device instructing a generating CNN to apply a convolutional operation to an N-th virtual training image, N-th meta data and (N-K)-th reference information to generate an N-th feature map; (b) the learning device instructing the generating CNN to apply a deconvolutional operation to the N-th feature map to generate an N-th transformed image; (c) the learning device instructing a discriminating CNN to apply a discriminating CNN operation to the N-th transformed image to generate a category score vector; (d) the learning device instructing the generating CNN to generate a generating CNN loss by referring to the category score vector and its corresponding GT, and to perform backpropagation by referring to the generating CNN loss to learn parameters of the generating CNN.
机译：提供了一种在虚拟世界上将虚拟视频转换为更真实的视频的学习方法。 该方法包括步骤：（a）一种学习设备，指示生成CNN以将卷积操作应用于第n个虚拟训练图像，第n个元数据和（NK）-th参考信息以生成第n-TH 特征地图; （b）指示生成CNN以产生第n个特征映射的去卷积操作的学习设备以产生第n变换图像; （c）教学设备指示区分CNN以将区分CNN操作应用于第n变换的图像以产生类别分数矢量; （d）通过参考类别得分矢量及其对应的GT来指示生成CNN生成生成CNN丢失的学习设备，并通过参考生成CNN丢失来学习生成CNN的参数来执行反向丢弃。

著录项

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