Frame attention networks for facial expression recognition in videos

29 Jun 2019Debin MengXiaojiang PengKai WangYu Qiao

The video-based facial expression recognition aims to classify a given video into several basic emotions. How to integrate facial features of individual frames is crucial for this task... (read more)

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Task Dataset Model Metric name Metric value Global rank Compare
Facial Expression Recognition Acted Facial Expressions In The Wild (AFEW) resnet18 Accuracy(on validation set) 51.181% # 1
Facial Expression Recognition The Extended Cohn-Kanade Dataset(CK+) resnet18 Accuracy(10-fold) 99.69% # 1