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Jul, 2020
学习解析人造环境图像中的线框
Learning to Parse Wireframes in Images of Man-Made Environments
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Kun Huang, Yifan Wang, Zihan Zhou, Tianjiao Ding, Shenghua Gao...
TL;DR
本文提出了一种基于学习的方法,用于自动提取混乱人造环境图像的线框表示,并构建了一个非常大的新数据集,并提出了两个适用于提取接头和直线的卷积神经网络,取得了明显优于现有方法的性能。
Abstract
In this paper, we propose a
learning-based approach
to the task of automatically extracting a "wireframe" representation for images of
cluttered man-made environments
. The wireframe (see Fig. 1) contains all sali
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