Age recognition model training method, face age recognition method and related device
A technology of recognition model and training method, applied in the field of face image recognition, can solve problems such as poor recognition effect, and achieve the effect of improving recognition accuracy
Pending Publication Date: 2021-07-02
深圳数联天下智能科技有限公司
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Problems solved by technology
[0004] This application provides an age recognition model training method, a face age recognition method and related devices to solve the technical problem of poor recognition effect in the existing face age recognition technology
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[0044] The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
[0045] The technical solution of the present application can be applied to various scenarios of face recognition. Specifically, the technical solution of the present application can be used to identify the age of the face corresponding to the face image in the scene of face recognition. In the scene of face recognition, in some implementations, the face image of the scene is recognized by a face age recognition model with an age recognition function, so as to determine the age of the face corresponding to the face image, wherein, The face age recognition model is obtained through pre-training.
[0046] In the process of training the obtained face age recognition model, by obtaining a large number of face images, and marking each face image with a corresponding age label, and then inputting each face...
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The invention provides an age recognition model training method, a face age recognition method and a related device, and the method comprises the steps of obtaining a sample face image group; inputting the sample face image group into a face age recognition model to respectively obtain high-level semantic feature vectors and predicted ages corresponding to the two different sample face images; respectively calculating the difference between the predicted age and the age label corresponding to each of the two different sample face images, so as to obtain the age loss of the face age recognition model; calculating the similarity between the high-level semantic feature vectors corresponding to the two different sample face images to obtain the feature similarity loss of the face age recognition model; and performing iterative parameter adjustment on the face age recognition model based on the age loss and the feature similarity loss to obtain a target face age recognition model. According to the technical scheme, the recognition precision of the face age recognition model can be improved.
Description
technical field [0001] This application relates to the field of face image recognition, in particular to an age recognition model training method, a face age recognition method and related devices. Background technique [0002] A face image contains a variety of face feature information, such as face shape, face skin condition, face facial features, face age, etc. Among them, face age, as a more important feature information, is used in face image recognition. field has been widely used. For example, some clients running on mobile devices have the function of face age recognition, wherein the client obtains face images and outputs the recognized face age based on the obtained face images to feed back to Users, to achieve the purpose of client-user interaction to increase user stickiness. [0003] For these clients with face age recognition functions, the accuracy of age recognition, that is, the gap between the recognized age and the user's real age, is a more important co...
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Login to View More IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/178G06V40/168G06N3/045G06F18/214Y02T10/40
Inventor 陈仿雄
Owner 深圳数联天下智能科技有限公司