In recent years,Convolutional Neural Network (CNN) has made a series of breakthrough research results in the fields of image classification,object detection,semantic segmentation and so on.The powerful ability of CNN for feature learning and classification attracts wide attention,it is of great value to review the works in this research field.A brief history and basic framework of CNN were introduced.Recent researches on CNN were thoroughly summarized and analyzed in four aspects:over-fitting problem,network structure,transfer learning and theoretic analysis.State-of-the-art CNN based methods for various applications were concluded and discussed.At last,some shortcomings of the current research on CNN were pointed out and some new insights for the future research of CNN were presented.
NETL
NSTL
万方数据
维普
