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基于关键点的目标检测算法研究进展
引用本文:王明阳,王江涛,刘琛.基于关键点的目标检测算法研究进展[J].宜春学院学报,2021(3):6-11.
作者姓名:王明阳  王江涛  刘琛
作者单位:淮北师范大学物理与电子信息学院;淮北师范大学信息学院
基金项目:国家自然科学基金项目(项目编号:61203272);安徽省高校自然科学研究重大项目(项目编号:KJ2018ZD038);安徽省高校自然科学研究一般项目(项目编号:KJ2019B15);安徽省高等学校省级质量工程项目(项目编号:2019jxtd142)。
摘    要:随着深度学习技术的兴起,目标检测算法正在经历着变革式的发展。作为深度学习目标检测研究领域中最新的一个研究方向,基于关键点的目标检测算法正在得到越来越多的关注,已成为目标检测的一个重要研究方向。本文在对基于深度学习的目标检测技术进行简要回顾的基础上,着重分析了基于关键点的目标检测方法所涉及的核心技术,并从所采用的骨干网络、特征点、COCO数据库中的检测表现等几个角度对相关方法进行汇总,论述了各类方法的检测性能。最后通过对各类方法进行对比总结出当前关键点目标检测方法存在的问题,并对未来的研究方向进行了展望。

关 键 词:关键点  目标检测  深度学习

Research Progress of Object Detection Algorithms Based on Key Points
WANG Ming-yang,WANG Jiang-tao,LIU Chen.Research Progress of Object Detection Algorithms Based on Key Points[J].Journal of Yichun University,2021(3):6-11.
Authors:WANG Ming-yang  WANG Jiang-tao  LIU Chen
Institution:(College of Physics and Electronic Information,Huaibei Normal University;College of Information,Huaibei Normal University,Huaibei 235000,China)
Abstract:With the rise of deep learning technology,object detection algorithms are undergoing a revolutionary development.As the latest research direction in the field of deep learning object detection research,object detection algorithms based on key points are gaining more and more attention,and have become an important research direction of object detection.Based on a brief review of the object detection technology based on deep learning,this paper focuses on analyzing the core technology involved in the object detection method based on key points,and from the backbone network,feature points,COCO database detection performance Summarize the related methods from several angles and discuss the detection performance of various methods.Finally,by comparing various methods,the current problems of key point object detection methods are summarized,and the future research direction is prospected.
Keywords:key points  object detection  deep learning
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