BriefGPT.xyz
Oct, 2015
利用广泛的类和场景级上下文进行图像解析
Image Parsing with a Wide Range of Classes and Scene-Level Context
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Marian George
TL;DR
通过改进概率分类器的标签似然度和引入全局标签代价, 本论文提出了一种非参数景观分析方法,提高了场景图像中前景类别的覆盖率和总体准确性,并在两个大型数据集上达到了最先进的性能。
Abstract
This paper presents a
nonparametric scene parsing
approach that improves the overall accuracy, as well as the coverage of foreground classes in scene images. We first improve the
label likelihood estimates
at sup
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