计算机工程与应用2019，Vol.55Issue(19)：12-21,42,11.DOI:10.3778/j.issn.1002-8331.1905-0325
基于深度学习的图像语义分割技术研究综述
Survey of Image Semantic Segmentation Based on Deep Learning
摘要
Abstract
Image semantic segmentation technology is one of the key technologies for intelligent systems to understand natural scenes. As an important research direction in the field of visual intelligence, this technology has broad application prospects in the fields of mobile robots, drones, intelligent driving and smart security. This paper gives a detailed review on the research and development of image semantic segmentation technology, including the traditional semantic segmentation method and the current mainstream image semantic segmentation theory based on deep learning, and the method of image semantic segmentation based on deep learning. It describes the framework and its implementation process, analyzes the effects, advantages and disadvantages of the typical representative algorithms, and then summarizes the algorithm evaluation indicators. Finally, the development of the technology is summarized and forecasted. The paper has a good reference for researchers and engineers who are engaged in image semantic segmentation technology.关键词
智能系统/图像语义分割/深度学习/视觉智能Key words
intelligent system/image semantic segmentation/deep learning/visual intelligence分类
信息技术与安全科学引用本文复制引用
邝辉宇,吴俊君..基于深度学习的图像语义分割技术研究综述[J].计算机工程与应用,2019,55(19):12-21,42,11.基金项目
国家重点研发计划(No.2018YFB1308000) （No.2018YFB1308000）
国家自然科学基金(No.61603103,No.61673125) （No.61603103,No.61673125）
广东省自然科学基金(No.2016A030310293) （No.2016A030310293）
广州市科技计划科学研究专项(No.201707010013) （No.201707010013）
佛山科学技术学院高层次人才科研启动项目(No.Gg07176). （No.Gg07176）
