计算机工程与应用2020，Vol.56Issue(1)：25-37,13.DOI:10.3778/j.issn.1002-8331.1910-0164
全卷积神经网络研究综述
Review of Fully Convolutional Neural Network
摘要
Abstract
In recent years, the fully convolutional neural network has been developing rapidly, and has shown very bright results in many visual research fields. This paper focuses on collecting a large amount of recent high-quality literatures, analyzing and summarizing the fully convolutional methods proposed, and trying to make the reader has a more compre-hensive understanding of key technologies, research status and latest developments of the fully convolutional neural network through the study of the paper. The collected literatures are classified and summarized according to the different fields of study, it focuses on extracting several areas where research is very active, and introduces in detail some of the most repre-sentative and state-of-the-art classic algorithms, and highlights the quintessence of the various methods. It also provides an overview of the latest research progress in the past year. Through the research on a large number of literatures, the achievements of the fully convolutional neural network are summarized, and the advantages and defects of these methods are analyzed. Based on the existing problems in the fully convolutional neural network, the possible future development direction is given.关键词
全卷积神经网络/卷积计算/深度学习/视觉研究Key words
fully convolutional neural network/convolutional computation/deep learning/visual research分类
信息技术与安全科学引用本文复制引用
章琳,袁非牛,张文睿,曾夏玲..全卷积神经网络研究综述[J].计算机工程与应用,2020,56(1):25-37,13.基金项目
国家自然科学基金(No.61862029) （No.61862029）
江西省教育厅科技项目(No.GJJ180602). （No.GJJ180602）
