Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Training method of face changing identification model, face changing identification method, device and equipment

A technology for identifying models and training methods, applied in the computer field, can solve problems such as low accuracy, achieve the effects of reducing jitter, improving identification accuracy, and speeding up convergence

Active Publication Date: 2020-06-16
TENCENT TECH (SHENZHEN) CO LTD
View PDF2 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Using the existing face recognition method to distinguish whether the face image to be identified is a face image that has been changed, the accuracy rate is low

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
  • Training method of face changing identification model, face changing identification method, device and equipment
  • Training method of face changing identification model, face changing identification method, device and equipment
  • Training method of face changing identification model, face changing identification method, device and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] In order to make the purpose, technical solution and advantages of the application clearer, the application will be further described in detail below in conjunction with the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0056] The word "exemplary" is used hereinafter to mean "serving as an example, embodiment or illustration". Any embodiment described as "exemplary" is not necessarily to be construed as superior or better than other embodiments.

[0057] The terms "first" and "second" herein are only used for descriptive purposes, and should not be interpreted as indicating or implying relative importance or implicitly specifying the quantity of indicated technical features. Therefor...

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 provides a training method of a face change identification model, a face change identification method, device and equipment, belongs to the technical field of computers, and relates to artificial intelligence and computer vision technologies. When the face-changing identification model is trained, the non-face-changing face sample image and the face-changing face sample image of thesame sample object are included in one sample image group, the face-changing identification model is trained, and the parameters of the face-changing identification model are adjusted based on the loss value generated by the model for the sample image group. The face main feature difference between the non-face-changing face sample image and the face-changing face sample image of the same sample object is very small; therefore, the model can adjust the parameters; learning of main features of the face of the image is weakened, more attention is paid to the difference features of the face sample image without face changing and the face sample image with face changing, shaking of the model in the training process can be reduced, the convergence speed of the model is increased, and the identification accuracy of the face changing identification model during identification of the face image is improved.

Description

technical field [0001] The present application relates to the field of computer technology, and more specifically, to a training method of a face-changing identification model, a face-changing identification method, device and equipment. Background technique [0002] Face recognition technology can identify identity by analyzing and comparing facial visual feature information. With the continuous improvement of face recognition technology, face recognition technology has been widely used in many fields. [0003] At the same time, with the continuous development of image processing technology, the face area in the image can be processed by drawing tools or other image processing methods, and the face of the first object can be replaced by the face of the second object. For example, the faces of two people in an image or video can be swapped using Deepfake face-changing technology. The processed images of faces have posed new challenges for facial recognition technology and c...

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): G06N3/04G06N3/08G06K9/62G06K9/00G06F16/58
CPCG06N3/084G06F16/5866G06V40/172G06N3/045G06F18/2411G06F18/214
Inventor 叶泽雄蒋进肖万鹏鞠奇
Owner TENCENT TECH (SHENZHEN) CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products