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.

 

posted @ 2019-06-19 23:22  denny402  阅读(...)  评论(...编辑  收藏