Journal of Jilin University(Information Science Ed
Previous Articles Next Articles
LIU Fu,LIU Xing,KANG Bing
Received:
Online:
Published:
Abstract: Because the accuracy does not met the practical requirements, a shallow residual network is proposed. With the characteristics of the network architechture,the network can combine features from different levels and calculate. The experiment shows that the shallow residual network has effectively improved the accuracy of the algorithms.
Key words: gaze estimation, convolutional neural network, deep learning, residual network, eye image
CLC Number:
LIU Fu,LIU Xing,KANG Bing. Gaze Estimation Algorithm Based on Shallow Residual Network[J].Journal of Jilin University(Information Science Ed, 2018, 36(3): 333-338.
0 / / Recommend
Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks
URL: http://xuebao.jlu.edu.cn/xxb/EN/
http://xuebao.jlu.edu.cn/xxb/EN/Y2018/V36/I3/333
Cited