首页> 外国专利> A learning method and a learning device for converting a real image in real world into a virtual image in a virtual world using a cycle Gan which can be applied to a domain adaptation to detect an object on a real image Test method and test device utilizing the same

A learning method and a learning device for converting a real image in real world into a virtual image in a virtual world using a cycle Gan which can be applied to a domain adaptation to detect an object on a real image Test method and test device utilizing the same

机译:一种学习方法和学习设备,用于使用循环GAN将现实世界中真实图像转换为虚拟世界中的虚拟图像,该循环GAN可以应用于域适应以检测实际图像测试方法和测试设备上的对象相同的

摘要

To provide a learning method, a learning device, a test method, and a test device which can reduce difference between virtual and reality and reduce annotation costs, and which learns runtime input transformation for transforming real images into virtual images.SOLUTION: A learning method includes steps of: allowing a first transformer to transform a first image to a second image, allowing a first discriminator to generate a 1_1-st result, and allowing a second transformer to transform the second image to a third image, having characteristics which are same as or similar to real images; allowing the second transformer to transform a fourth image to a fifth image, allowing a second discriminator to generate a 2_1-st result, and allowing the first transformer to transform the fifth image to a sixth image; and calculating losses.SELECTED DRAWING: Figure 3
机译:为了提供学习方法,学习设备,测试方法和测试设备,可以减少虚拟和现实之间的差异并降低注释成本,并为其学习将实图像转换为虚拟映像的运行时输入转换。─绘制方法包括步骤:允许第一变压器将第一图像转换为第二图像,允许第一鉴别器生成1_1-ST结果,并允许第二变压器将第二图像转换为第三图像,具有相同的特性仿真或类似于真实的图像;允许第二变压器将第四图像转换为第五图像,允许第二鉴别器生成2_1-ST结果,并允许第一变压器将第五图像转换为第六图像;并计算损失。绘图:图3

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