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首页> 外文期刊>Procedia Computer Science >CG Utilization for Creation of Regression Model Training Data in Deep Learning
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CG Utilization for Creation of Regression Model Training Data in Deep Learning

机译:CG在深度学习中创建回归模型训练数据的利用

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Nowadays, deep learning is utilized in a wide range of fields and has achieved great results. However, in order to use deep learning, it is necessary to prepare a large amount of training data, and this becomes a big obstacle in some fields. In this study, we show the case to estimate quantities from pictures by using the regression model of deep learning, which is trained by CG images generated automatically. And, to improve the estimation accuracy of this case, we propose the following methods: mixing pictures into the CG images which is training data; converting the color of pictures for estimation according to the CG images. And, we evaluate these methods and show their effectiveness.
机译:如今,深度学习已广泛应用于各个领域,并取得了不错的成绩。但是,为了使用深度学习,必须准备大量的训练数据,这在某些领域成为一大障碍。在这项研究中,我们展示了使用深度学习的回归模型从图片中估算数量的情况,该模型由自动生成的CG图像训练。并且,为了提高这种情况的估计精度,我们提出以下方法:将图片混合到作为训练数据的CG图像中;根据CG图像转换图片的颜色进行估计。并且,我们评估了这些方法并显示了它们的有效性。

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