A face attribute analysis method based on transfer learning
A technology of transfer learning and attribute analysis, which is applied in the direction of instruments, biological neural network models, character and pattern recognition, etc., to achieve the effect of preventing local minima, avoiding accuracy reduction, and improving prediction accuracy
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[0022] The technical solution of the invention will be described in detail below in conjunction with the accompanying drawings.
[0023] In view of the fact that the traditional face attribute analysis method is too simple, it is easy to fall into the problem of overfitting during training, and proposes a multi-task training that integrates multiple complex face attributes such as face bounding boxes.
[0024] Face attributes include various face-related linear regression and logistic regression tasks. Face attributes based on logistic regression include face judgment and facial features. Face attributes based on linear regression include the relative positions of facial features on the face. , the relative position of the face frame in the whole picture, etc.
[0025] The face attribute analysis method based on migration learning proposed by the present invention is as follows: figure 1 As shown, it mainly includes the following four major steps.
[0026] Step 1: Design the...
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