Dynamic expression recognition method and system based on attention mechanism between space-time streams
A facial expression recognition and attention technology, applied in neural learning methods, character and pattern recognition, computer components, etc., can solve the problems of affecting the recognition effect, ignoring the time domain information of facial expressions, and failing to achieve information interaction, etc., to achieve The effect of strong representation ability, generalization ability and strong fitting ability
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[0052]DETAILED DESCRIPTION OF THE PREFERRED DESCRIPTION OF THE DRAWINGS FIG.
[0053]Such asfigure 1 As shown, an embodiment of the present invention provides a dynamic expression recognition method based on a time-space interval focus mechanism, mainly including the steps of:
[0054]Step 1: Collect the facial expression video clip, build a human face expression video library containing the emotic class tag.
[0055]This embodiment uses the AFEW facial expression video library. The video sample in the AFEW Face End Video Branch comes from different movies, including 1809 video samples, each video-sample face corresponding to an expression category, including angry, fear, disgust, hate, sad, surprised, and neutral Seven categories. In practice, other human face emoticon video libraries can also be used, or collect facial expression videos, build a video library containing face expression category labels.
[0056]Step 2: Build a dual flow convolutional neurocal network model embedded in the time...
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