|
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.