Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Machine learning model training method and device and face recognition method and device

A technology of a machine learning model and a training method is applied in the fields of training methods, training devices for machine learning models, electronic equipment and non-transitory computer-readable storage media, and face recognition devices, and can solve the features extracted by machine learning models. Inaccurate, poor target recognition, etc.

Pending Publication Date: 2020-12-18
BEIJING WODONG TIANJUN INFORMATION TECH CO LTD +1
View PDF0 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The inventors of the present disclosure have discovered the following problems in the above-mentioned related technologies: the features extracted by the machine learning model are not accurate, resulting in poor target recognition effect

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
  • Machine learning model training method and device and face recognition method and device
  • Machine learning model training method and device and face recognition method and device
  • Machine learning model training method and device and face recognition method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that relative arrangements of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.

[0039] At the same time, it should be understood that, for the convenience of description, the sizes of the various parts shown in the drawings are not drawn according to the actual proportional relationship.

[0040] The following description of at least one exemplary embodiment is merely illustrative in nature and in no way intended as any limitation of the disclosure, its application or uses.

[0041] Techniques, methods, and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, techniques, methods, and devices should be considered part of the ...

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 a machine learning model training method and device and a face recognition method and device, and relates to the technical field of artificial intelligence. The training method comprises the following steps: extracting a feature vector of each image sample data by using a machine learning model, and determining a classification result of a target in each image sample dataaccording to each feature vector; judging whether the targets in the image sample data are classified into correct classifications or wrong classifications according to the labeling results and the classification results of the targets in the image sample data; under the condition that the target in any image sample data is classified into the wrong classification, reducing the first feature similarity between the image sample data and the correct classification, and increasing the second feature similarity between the image sample data and the wrong classification; and calculating a loss function for training a machine learning model according to all the reduced first feature similarities and the increased second feature similarities.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, and in particular to a machine learning model training method, a machine learning model training device, a face recognition method, a face recognition device, electronic equipment, and a non-transitory computer-readable storage medium. Background technique [0002] In recent years, with the development of artificial intelligence technology, it is possible to identify objects in image data. For example, face recognition technology, as an application of target recognition, is widely used in scenarios related to identity verification, such as security, finance, and traffic. [0003] In related technologies, a machine learning model can be used to extract target features in image data, and then target recognition can be realized by calculating the similarity between features. Contents of the invention [0004] The inventors of the present disclosure have found the followin...

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): G06N3/08G06N3/04G06K9/62G06K9/00
CPCG06N3/08G06V40/16G06N3/045G06F18/22
Inventor 王军杜航刘昱赤石海林梅涛
Owner BEIJING WODONG TIANJUN INFORMATION TECH CO LTD
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
Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com