摘要
语义分割是视觉分析的基础。近年来,深度学习在视觉领域取得了较大的成功。本文对基于深度学习的语义分割方法进行了综述。首先对语义分割领域的经典深度学习模型进行了总结,然后对现有模型存在的问题进行分析,最后对未来的研究方向进行了展望。
Semantic segmentation is the basic of computer vision.In the recent years,deep learning has achieved success in computer vision community.This paper gives a review of semantic segmentation based on deep learning.This paper is first to conclude the related deep learning models for semantic segmentation,after that the paper gives the problem analysis of existing models,finally,this paper discuss the future direction of semantic segmentation.
作者
计梦予
袭肖明
于治楼
JI Meng-yu;XI Xiao-ming;YU Zhi-lou
出处
《信息技术与信息化》
2017年第10期137-140,共4页
Information Technology and Informatization
关键词
视觉分析
语义分割
深度学习
Computer vision
Semantic segmentation
Deep learning
