A method for special vehicle recognition based on deep-transfer model
As an application of image recognition,special vehicle recognition is very important in military field.This paper proposes a deep-transfer model (DTM) to overcome the problems in existing recognition methods.The DTM combines deeplearning and transfer-learning to solve the difficulty in training deep model with insufficient simples,improving the performance of the recognition algorithm.At last,the special vehicle dataset is built to evaluate the proposed DTM method.The results demonstrate that the DTM method outperforms the existing method in special vehicle recognition application.
special vehicle recognition image classification deep learning transfer learning
Yu Chen Chunling Yang ShiYan Yang
School of Electrical Engineering and Automation Harbin Institute of Technology Harbin, China
国际会议
哈尔滨
英文
167-170
2016-07-21（万方平台首次上网日期，不代表论文的发表时间）