EmotiW 历年竞赛冠军数据及论文信息

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.