date
Baseline paper
Champion paper
Model & Feature
Test_acc
2013
[1]
[2]
EmoNets
41.03
2014
[3]
[4]
HOG,DSIFT,DCNN
50.37
2015
[5]
[6]
AU-aware facial feature,CNN
53.8
2016
[7]
[8]
CNN-LSTM,C3D
59.02
2017
[9]
[10]
SSE
60.34
2018
[11]
[12]
MTCNN,VGG16,LMED
61.87
参与文献：
[1]. Dhall A, Goecke R, Joshi J, et al. Emotion recognition in the wild challenge 2013[C]//Proceedings of the 15th ACM on International conference on multimodal interaction. ACM, 2013: 509-516.
[2]. Kahou S E, Pal C, Bouthillier X, et al. Combining modality specific deep neural networks for emotion recognition in video[C]//Proceedings of the 15th ACM on International conference on multimodal interaction. ACM, 2013: 543-550.
[3]. Dhall A, Goecke R, Joshi J, et al. Emotion recognition in the wild challenge 2014: Baseline, data and protocol[C]//Proceedings of the 16th international conference on multimodal interaction. ACM, 2014: 461-466.
[4]. Liu M, Wang R, Li S, et al. Combining multiple kernel methods on riemannian manifold for emotion recognition in the wild[C]//Proceedings of the 16th International Conference on multimodal interaction. ACM, 2014: 494-501.
[5]. Dhall A, Ramana Murthy O V, Goecke R, et al. Video and image based emotion recognition challenges in the wild: Emotiw 2015[C]//Proceedings of the 2015 ACM on international conference on multimodal interaction. ACM, 2015: 423-426.
[6]. Yao A, Shao J, Ma N, et al. Capturing au-aware facial features and their latent relations for emotion recognition in the wild[C]//Proceedings of the 2015 ACM on International Conference on Multimodal Interaction. ACM, 2015: 451-458.
[7]. Dhall A, Goecke R, Joshi J, et al. Emotiw 2016: Video and group-level emotion recognition challenges[C]//Proceedings of the 18th ACM International Conference on Multimodal Interaction. ACM, 2016: 427-432.
[8]. Fan Y, Lu X, Li D, et al. Video-based emotion recognition using CNN-RNN and C3D hybrid networks[C]//Proceedings of the 18th ACM International Conference on Multimodal Interaction. ACM, 2016: 445-450.
[9]. Abhinav D, Roland G, Shreya G, et al. From individual to group-level emotion recognition: Emotiw 5.0[J]. ACM ICMI 2017, 2017.
[10]. Hu P, Cai D, Wang S, et al. Learning supervised scoring ensemble for emotion recognition in the wild[C]//Proceedings of the 19th ACM international conference on multimodal interaction. ACM, 2017: 553-560.
[11]. Dhall A, Kaur A, Goecke R, et al. Emotiw 2018: Audio-video, student engagement and group-level affect prediction[C]//Proceedings of the 2018 on International Conference on Multimodal Interaction. ACM, 2018: 653-656.
[12]. Liu C, Tang T, Lv K, et al. Multi-Feature Based Emotion Recognition for Video Clips[C]//Proceedings of the 2018 on International Conference on Multimodal Interaction. ACM, 2018: 630-634.
转载于:https://www.cnblogs.com/denny402/p/11055704.html
