[1] [1] LIU Y Y,ZENG J B,SHAN S G,et al.Multi-channel pose-aware convolution neural networks for multi-view facial expression recognition［C］//IEEE International Conference on Automatic Face and Gesture Recognition,May 15-19,2018,Xi′an,China.New York:IEEE,2018: 458-465.

[2] [2] YOLCU G,OZTEL I,KAZAN S,et al.Facial expression recognition for monitoring neurological disorders based on convolutional neural network[J].Multimedia Tools and Applications,2019,78(22):31581-31603.

[3] [3] CAI J,MENG Z B,KHAN A S,et al.Island loss for learning discriminative features in facial expression recognition［C］//IEEE International Conference on Automatic Face and Gesture Recognition,May 15-19,2018,Xi′an,China.New York:IEEE,2018:302-309.

[4] [4] WEN Y D,ZHANG K P,LI Z F,et al.A discriminative feature learning approach for deep face recognition［C］//European Conference on Computer Vision,October 08-16,2016,Amsterdam,Netherlands.Berlin,Heidelberg:Springer-Verlag,2016:499-515.

[5] [5] LYONS M J,BUDYNEK J,AKAMATSU S.Automatic classification of single facial images[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1999,21(12):1357-1362.

[6] [6] LUNDQVIST D,FLYKT A,HMAN A.The Karolinska directed emotional faces (KDEF)［M］.Stockholm,Sweden:Department of Clinical Neuroscience,Psychology Section,Karolinska Institute,1998.

[7] [7] SHELLHAMER E,LONG J,DARRELL T.Fully convolutional networks for semantic segmentation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2017,39(4):640-651.

[8] [8] SIMONYAN K, ZISSERMAN A. Very deep convolutional networks for large-scale image recognition［OL］.(2015-04-10) ［2022-11-20］.https://arxiv.org/abs/1409.1556.

[9] [9] JUNG H,LEE S,YIM J,et al.Joint fine-tuning in deep neural networks for facial expression recognition［C］//IEEE International Conference on Computer Vision,December 11-18,2015,Santiago,Chile.New York:IEEE,2015:2983-2991.

[10] [10] HUANG G,LIU Z,VAN DER MAATEN L,et al.Densely connected convolutional networks［C］//IEEE Conference on Computer Vision and Pattern Recognition,July 21-26,2017,Hawaii,America.New York:IEEE,2017:2261-2269.

[11] [11] LE V,BRANDT J,LIN Z,et al.Interactive facial feature localization［C］//European Conference on Computer Vision,October 07-13,2012,Florence,Italy.Berlin,Heidelberg:Springer-Verlag,2012:679-692.

[12] [12] SUN Z,CHIONG R,HU Z P.Self-adaptive feature learning based on a priori knowledge for facial expression recognition[J].Knowledge-Based Systems,2020,204:106124.

[13] [13] CHEN X M,KE L,DU Q,et al.Facial expression recognition using kernel entropy component analysis network and DAGSVM[J].Complexity,2021,2021:6616158.

[14] [14] NIU B,GAO Z X,GUO B B.Facial expression recognition with LBP and ORB features[J].Computational Intelligence and Neuroscience,2021,2021:8828245.

[15] [15] WEI W,JIA Q X,FENG Y L,et al.Multi modal facial expression feature based on deep neural networks[J].Journal on Multimodal User Interfaces,2020,14(1):17-23.

[16] [16] SUN Z,CHIONG R,HU Z P.An extended dictionary representation approach with deep subspace learning for facial expression recognition[J].Neurocomputing,2018,316:1-9.

[17] [17] SANTRA B,MUKHERJEE D P.Local dominant binary patterns for recognition of multi-view facial expressions［C］//Indian Conference on Computer Vision,Graphics and Image Processing,December 18-22,2016,Guwahati,India.New York:ACM,2016.

[18] [18] MINAEE S,MINAEI M,ABDOLRASHIDI A.Deep-emotion:facial expression recognition using attentional convolutional network[J].Sensors,2021,21(9):3046.