论文阅读Synthetic to Real Adaptation with Generative Correlation Alignment Networks
论文题目：Synthetic to Real Adaptation with Generative Correlation Alignment Networks 作者：Xingchao Peng，Kate Saenko 来源： arxiv2017 1. 摘要 文章的想法是如果使用3D CAD建模的合成图片进行训练数据的数据增强，将会是一件非常有意义的事。然而，合成图片与真实图片之间存在较大的dom
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相关文章
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