Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
大多数用于图像分割和标记最先进的技术都使用了在像素或图像区域上的条件随机场。 本文中在图像的所有像素总中定义全连接CRF模型。这样会产生数十亿的边缘，使得传统算法难以求解，针对这一问题本文提出了用于全连接CRF模型的高效近似推断算法，用来求解。 其中PEP(pairwise edge potentials)是有高斯核的线性组合定义的。用来描述标签和标签之间关系的特征函数。 1 Introducti
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相关文章
- 1. Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
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