MERANet: Facial Micro-Expression Recognition using 3D Residual Attention Network

• URL: http://arxiv.org/abs/2012.04581v1
• Date: Mon, 7 Dec 2020 16:41:42 GMT
• Title: MERANet: Facial Micro-Expression Recognition using 3D Residual Attention Network
• Authors: Viswanatha Reddy Gajjala, Sai Prasanna Teja Reddy, Snehasis Mukherjee, Shiv Ram Dubey
• Abstract summary: We propose a facial-expression recognition model using 3D attention called MERANet. The proposed model also encompasses both spatial and temporal information. A superior performance is observed as compared to the state-of-the-art for facial micro-expression recognition.
• Score: 14.285700243381537
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We propose a facial micro-expression recognition model using 3D residual attention network called MERANet. The proposed model takes advantage of spatial-temporal attention and channel attention together, to learn deeper fine-grained subtle features for classification of emotions. The proposed model also encompasses both spatial and temporal information simultaneously using the 3D kernels and residual connections. Moreover, the channel features and spatio-temporal features are re-calibrated using the channel and spatio-temporal attentions, respectively in each residual module. The experiments are conducted on benchmark facial micro-expression datasets. A superior performance is observed as compared to the state-of-the-art for facial micro-expression recognition.

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