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NEURAL NETWORK TRAINING METHOD AND APPARATUS, IMAGE SEGMENTATION METHOD AND APPARATUS, DEVICE, MEDIUM, AND PROGRAM

机译:神经网络训练方法和装置,图像分割方法和装置,装置,媒体和程序

摘要

The present application relates to a neural network training method and apparatus, an image segmentation method and apparatus, an electronic device, a computer storage medium, and a computer program. The neural network training method comprises: extracting a first feature of a first image and a second feature of a second image by means of a first neural network; fusing the first feature and the second feature through the first neural network to obtain a third feature; determining, by means of the first neural network and according to the third feature, a first classification result of coincident pixels in the first image and the second image; and training the first neural network according to the first classification result and annotation data corresponding to the coincident pixels.
机译:本申请涉及神经网络训练方法和装置,图像分割方法和装置,电子设备,计算机存储介质和计算机程序。神经网络训练方法包括:通过第一神经网络提取第一图像的第一特征和第二图像的第二特征;通过第一神经网络融合第一个特征和第二个特征以获得第三个特征;通过第一神经网络和根据第三特征来确定第一图像和第二图像中的一致像素的第一分类结果;并根据与重合像素对应的第一分类结果和注释数据来训练第一神经网络。

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