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Face feature extraction model training method and face feature extraction method

A technology of face features and training methods, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as unsatisfactory effects of model training or recognition methods

Pending Publication Date: 2022-01-18
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, for application scenarios such as biometric identification, the relevant model training or identification methods are not ideal.

Method used

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  • Face feature extraction model training method and face feature extraction method
  • Face feature extraction model training method and face feature extraction method
  • Face feature extraction model training method and face feature extraction method

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Embodiment Construction

[0025] Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0026] Artificial Intelligence (AI for short) is a technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. At present, AI technology has the advantages of high automation, high precision, and low cost, and has been widely used.

[0027] Computer vision (Computer Visi...

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Abstract

The invention provides a face feature extraction model training method and device, electronic equipment and a storage medium, relates to the technical field of artificial intelligence, in particular to the technical field of computer vision and deep learning, and can be applied to scenes such as face image processing and face recognition. The specific implementation scheme of the method comprises the steps: acquiring a sample image including a face, inputting the sample image into a face feature extraction model, acquiring a covariance matrix corresponding to face features, acquiring a first loss function according to the covariance matrix, carrying out classification and recognition according to the face features, acquiring a second loss function according to a classification and recognition result, and adjusting he model parameters of the face feature extraction model according to the first loss function and the second loss function. Therefore, the under-fitting risk and the over-fitting risk caused when different sample images are collected in different scenes for model training are avoided, and the training effect of the face feature extraction model is improved.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, specifically to the technical field of computer vision and deep learning, and in particular to a training method, device, electronic equipment and storage medium for a facial feature extraction model. Background technique [0002] In recent years, artificial intelligence technology has been widely used in scenarios such as machine vision, biometric identification, automatic planning, intelligent control, robotics, and language and image understanding, improving the user's informatization and intelligence experience. [0003] At present, in the field of artificial intelligence, there are also some problems that need to be continuously improved, such as how to improve the accuracy of biometric recognition, especially the accuracy of face recognition, and the subsequent model training process or recognition. The program is optimized. [0004] However, at present, for applic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06V10/764G06V10/774G06V40/16
CPCG06F18/214G06F18/2415
Inventor 彭楠李弼希滕张刚
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD