Authenticable face recognition learning and forgetting method and system based on incremental learning
The invention relates to an authenticable face recognition learning and forgetting method and system based on incremental learning, and the method comprises the steps: obtaining an initial face data set, constructing a linear symmetric data set of a to-be-forgotten face data set, and combining the l...
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Format: | Patent |
Sprache: | chi ; eng |
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Zusammenfassung: | The invention relates to an authenticable face recognition learning and forgetting method and system based on incremental learning, and the method comprises the steps: obtaining an initial face data set, constructing a linear symmetric data set of a to-be-forgotten face data set, and combining the linear symmetric data set with a newly generated face data set to generate a to-be-learned face data set for incremental learning; training a feature extraction layer of the model by using the initial face data set, and training a linear full connection layer of the model by using the initial face data set and the to-be-learned face data set; updating model parameters through a stochastic gradient descent method based on incremental learning; when it is judged that the parameter updating error is lower than an error allowable threshold value, current face recognition model parameters are obtained to update the model; the linear symmetric data set is constructed according to the to-be-forgotten face data set during f |
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