FACIAL EXPRESSION RECOGNITION METHOD BASED ON ATTENTION MECHANISM

A facial expression recognition method based on an attention mechanism of the invention is applicable to the image recognition field. First, a facial expression recognition model is built, and converged facial expression predicting results are obtained through an end-to-end manner; adding a self-attention mechanism and a channel attention mechanism on the basis of a residual network to improve sensitivity to useful information in an input image and suppress useless information; self-attention is used to calculate a weighted average value of all position pixels in the input facial expression feature map to calculate relative importance of key positions in the facial expression feature map, the self-attention mechanism and the channel attention mechanism are merged to encourage an ability of a facial expression recognition model to extract the key positions in the facial expression feature map as global important features, and finally the optimal recognition result is output.