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Training method and device for human face key point detection model

A face key point and detection model technology, applied in the Internet field, can solve the problems of poor performance of the face key point detection model and achieve high performance

Pending Publication Date: 2021-11-30
SHENZHEN INTELLIFUSION TECHNOLOGIES CO LTD
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  • Claims
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AI Technical Summary

Problems solved by technology

[0005] In view of the above problems, the embodiments of the present application provide a training method and device for a face key point detection model to at least solve the problem of poor performance of the current face key point detection model

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  • Training method and device for human face key point detection model
  • Training method and device for human face key point detection model
  • Training method and device for human face key point detection model

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Embodiment Construction

[0020] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

[0021] It should be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude one or more other Presence or addition of features, wholes, steps, operations, elements, components and / or collections thereof.

[0022] It should...

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Abstract

Embodiments of the invention provide a training method and device for a human face key point detection model. According to the method, for each training sample in a training sample set of the human face key point detection model, the human face key point detection model is adopted to carry out human face key point positioning on the training sample so as to obtain a prediction position of at least one human face key point in the training sample; for each human face key point, a position error between the predicted position and the real position of the human face key point is calculated, and a loss function value corresponding to the human face key point is determined according to the position error; and when the loss function value of the human face key point detection model is lower than a set threshold value, the human face key point detection model is determined to meet a training ending condition. Therefore, the performance of the trained human face key point detection model can be effectively improved.

Description

technical field [0001] The embodiments of the present application relate to the Internet field, and in particular, relate to a method and device for training a human face key point detection model. Background technique [0002] With the rapid development of artificial intelligence technology, neural network and machine learning models have been widely used in various fields, bringing convenience to people's life and work. For example, applying a machine learning model can efficiently identify the identity of the user corresponding to the face information, so as to complete operations such as payment or time attendance. [0003] In addition, face key point detection is a key step in many face applications. As a basic module, it is widely used in face attribute analysis such as face alignment, face recognition, 3D face reconstruction, and expression analysis. [0004] In recent years, compared with traditional methods, face key point detection methods based on deep learning h...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06F18/214
Inventor 李禹源胡文泽
Owner SHENZHEN INTELLIFUSION TECHNOLOGIES CO LTD
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