关键词: 全卷积神经网络, 卷积计算, 深度学习, 视觉研究

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 comprehensive 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 representative 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.

Key words: fully convolutional neural network, convolutional computation, deep learning, visual research