Learning What and How of Contextual Models for Scene Labeling

登录免费注册

资源分类

论文
算法
数据集
经验分享
技术动态
行业动态

论文
学习
研究领域

算法
学习
研究领域

数据集
自动驾驶
图片

经验分享
学习
研究领域

技术动态
计算机视觉
自然语言处理

行业动态
教育
语音识别

》资源》论文》Learning What and How of Contextual Models for Scene Labeling

Learning What and How of Contextual Models for Scene Labeling

2020-03-31 |

51 |

41 |

Learning What and How of Contextual Models for Scene Labeling
论文

Abstract

We present a data-driven approach to predict the importance of edges and construct a Markov network for image analysis based on statistical models of global and local image features. We also address the coupled problem of predicting the feature weights associated with each edge of a Markov network for evaluation of context. Experimental results indicate that this scene dependent structure construction model eliminates spurious edges and improves performance over fully-connected and neighborhood connected Markov network.

上一篇：2.5D Dual Contouring: A Robust Approach to Creating Building Models from Aerial LiDAR Point Clouds

下一篇：Element-Wise Factorization for N-View Pro jective Reconstruction

用户评价