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基于深度学习的实例分割研究进展
引用本文:李晓筱,胡晓光,王梓强,杜卓群. 基于深度学习的实例分割研究进展[J]. 计算机工程与应用, 2021, 57(9): 60-67. DOI: 10.3778/j.issn.1002-8331.2012-0412
作者姓名:李晓筱  胡晓光  王梓强  杜卓群
作者单位:1.中国人民公安大学 信息网络安全学院,北京 1000382.中国人民公安大学 侦查学院,北京 100038
基金项目:国家重点研发计划;中国人民公安大学专项;上海市现场物证重点实验室开放课题基金
摘    要:目标检测确定检测图像中目标对象所在区域及其类别,语义分割对检测图像实现像素级分类,实例分割可以定义为同时解决目标检测与语义分割问题,在分类的同时确定每个目标实例语义.实例分割网络在无人机驾驶、机器人抓取、工业筛检等领域具有重要应用意义,针对目前基于深度学习实例分割综述性文章的空白,对实例分割进展进行概述,按照单阶段实例...

关 键 词:实例分割  深度学习  语义分割

Survey of Instance Segmentation Based on Deep Learning
LI Xiaoxiao,HU Xiaoguang,WANG Ziqiang,DU Zhuoqun. Survey of Instance Segmentation Based on Deep Learning[J]. Computer Engineering and Applications, 2021, 57(9): 60-67. DOI: 10.3778/j.issn.1002-8331.2012-0412
Authors:LI Xiaoxiao  HU Xiaoguang  WANG Ziqiang  DU Zhuoqun
Affiliation:1.School of Information and Cyber Security, People’s Public Security University of China, Beijing 100038, China2.School of Investigation, People’s Public Security University of China, Beijing 100038, China
Abstract:Target detection determines the area and category of target objects in the detected image. Semantic segmentation implements pixel-level classification of detected images. Instance segmentation can be defined as solving the problem of target discovery and semantic segmentation at the same time, and the semantics of each target instance are determined during classification. Instance segmentation networks have important application importance in areas such as drone driving, robot gripping, and industrial screening. Aiming for a blank in the current review article based on deep learning instance segmentation, this article provides an overview of single-stage instance segmentation and double instance segmentation. The stage instance segmentation classification describes different network models, focuses on the development of network frameworks over the last two years, summarizes the characteristics of each network, and suggests future development directions.
Keywords:instance segmentation  deep learning  semantic segmentation  
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