Face recognition model training method, face recognition method and electronic equipment

A face recognition and recognition model technology, applied in the field of face recognition, can solve the problem of low recognition accuracy of face recognition models, and achieve the effect of improving accuracy and accuracy

Pending Publication Date: 2022-01-04
SUZHOU KEYUAN SOFTWARE TECH DEV +1
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of this, an embodiment of the present invention provides a face recognition model training method, a face recognition method, and an electronic device to solve the problem of low recognition accuracy of the face recognition model

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Face recognition model training method, face recognition method and electronic equipment
  • Face recognition model training method, face recognition method and electronic equipment
  • Face recognition model training method, face recognition method and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0063] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0064] In the face recognition model training method provided by the embodiment of the present invention, when the face recognition model is trained, corresponding weights are determined for different feature maps, so as to improve the accuracy of the target face recognition model obtained through training.

[0065] Furthermore, the training process is d...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to the technical field of face recognition, in particular to a training method of a face recognition model, a face recognition method and electronic equipment, and the training method comprises the steps: obtaining face sample images and a target label of each face sample image; inputting the face sample image into a feature extraction module in a face recognition model for feature extraction to obtain a plurality of feature maps; inputting the plurality of feature maps into a weight determination module in the face recognition model for feature processing, and respectively determining a weight corresponding to each feature map; determining a prediction label of the face recognition model based on a fusion result of the plurality of feature maps and the corresponding weights; according to the difference between the target label and the prediction label, updating parameters of the face recognition model, and determining a target face recognition model. The accuracy of the face recognition model can be improved by endowing different feature maps with different weights.

Description

technical field [0001] The invention relates to the technical field of face recognition, in particular to a training method of a face recognition model, a face recognition method and electronic equipment. Background technique [0002] At present, face recognition technology has been widely used. The training of face recognition model, as the core of face recognition technology, directly determines the accuracy of face recognition technology. Existing face recognition models generally extract the features of the input face images to obtain the features of each part, and then perform face recognition based on the extracted features. However, since the importance of each part of the face in face recognition is different, if the same feature processing method is used for face recognition for each part, the recognition accuracy will inevitably be low. Contents of the invention [0003] In view of this, embodiments of the present invention provide a face recognition model trai...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/047G06N3/045G06F18/2415G06F18/253G06F18/214
Inventor 张震国吴剑平史晓丽毛晓蛟章勇
Owner SUZHOU KEYUAN SOFTWARE TECH DEV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products