Facial recognition model training and facial recognition method, system and device and medium

A face recognition and model training technology, applied in the field of image recognition, can solve problems such as unfavorable fusion, increase processing time, etc., and achieve the effect of improving image recognition efficiency, reducing calculation amount, and improving model parameters.

Active Publication Date: 2019-08-02
SUZHOU KEDA TECH
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AI Technical Summary

Problems solved by technology

For face feature extraction and face attribute analysis, the usual practice is to design different convolutional neural networks separately and use different loss functions for training. fusion of technologies

Method used

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  • Facial recognition model training and facial recognition method, system and device and medium
  • Facial recognition model training and facial recognition method, system and device and medium
  • Facial recognition model training and facial recognition method, system and device and medium

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Embodiment Construction

[0051] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals denote the same or similar structures in the drawings, and thus their repeated descriptions will be omitted.

[0052] like figure 1 As shown, the embodiment of the present invention provides a kind of face recognition model training method, comprises the following steps:

[0053] S110: Construct a face recognition model, such as figure 2 As shown, the face recognition model includes:

[0054] Feature extraction layer for extracting features of the input image;

[0055] Fully connected layer, each node of the fully connected layer ...

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Abstract

The invention provides a facial recognition model training and facial recognition method, system and device and a medium. The training method comprises the steps of constructing a face recognition model, wherein the model comprises a feature extraction layer, a full connection layer and a loss function layer, the full connection layer comprises a first feature output layer, a second feature outputlayer and at least one attribute output layer, and the loss function layer comprises a feature extraction loss function layer and at least one attribute loss function layer; and training the model byadopting a training set. The neural network model is constructed to be used for face feature extraction and face attribute analysis at the same time. After the image is input into the neural networkmodel, the feature for recognition and the attribute of the image can be output at the same time, the calculated amount in image recognition is reduced, and the image recognition efficiency is improved. In the model training process, feature extraction and attribute analysis are trained at the same time, a plurality of loss functions influence each other, and better model parameters can be obtained through training.

Description

technical field [0001] The present invention relates to the technical field of image recognition, in particular to a face recognition model training and face recognition method, system, device and medium. Background technique [0002] At present, face recognition technology has been widely used. Generally speaking, face recognition technology includes face detection technology, face key point positioning technology, face feature extraction technology and face attribute analysis technology. For face feature extraction and face attribute analysis, the usual practice is to design different convolutional neural networks separately and use different loss functions for training. technologies are integrated. Contents of the invention [0003] In view of the problems in the prior art, the object of the present invention is to provide a face recognition model training and face recognition method, system, equipment and medium, only need to build a neural network model, which can b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/172G06F18/214
Inventor 张震国晋兆龙吴剑平
Owner SUZHOU KEDA TECH
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