Data processing method and device based on class incremental learning model

An incremental learning and data processing technology, applied in the computer field, can solve the problems of cumbersome training process and low efficiency, and achieve the effect of ensuring recognition effect, improving optimization efficiency, reducing complexity and training time-consuming

Pending Publication Date: 2022-02-08
BIGO TECH PTE LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present application provides a data processing method and device based on a class-incremental learning model to solve the problem that in the prior art, when a new audit type is proposed, the classification recognition model needs to be retrained, the training process is cumbersome and the efficiency is low. problem, improve the recognition effect of the label category

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
  • Data processing method and device based on class incremental learning model
  • Data processing method and device based on class incremental learning model
  • Data processing method and device based on class incremental learning model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] In order to make the purpose, technical solution and advantages of the present application clearer, specific embodiments of the present application will be further described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present application, but not to limit the present application. In addition, it should be noted that, for the convenience of description, only parts relevant to the present application are shown in the drawings but not all content. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe various operations (or steps) as sequential processing, many of the operations may be performed in parallel, concurrently, or simultaneously. In addition, the order of operations can be rearranged. The proc...

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 embodiment of the invention discloses a data processing method and device based on a class incremental learning model. According to the technical scheme provided by the embodiment of the invention, a second tag parameter is added on the basis of an original first tag identification model to obtain a second tag identification model, and first tag data and second tag data are utilized to train the second tag identification model, so that under the condition that the old tag identification capability is ensured, the new label identification capability is better covered, the complexity and training time consumption of model training are effectively reduced, the second label identification model is ensured not to deviate too much relative to the original first label identification model, the identification effect on the original first label data is further ensured, and the identification effect on the label category is improved.

Description

technical field [0001] The embodiments of the present application relate to the field of computer technology, and in particular to a data processing method and device based on a class incremental learning model. Background technique [0002] With the rapid development of platforms such as short videos, live broadcasts, and news information, the volume of video and audio data is increasing day by day, which puts forward higher requirements for the review of audio and video content. At present, the review of audio and video content is mainly based on machine review, which filters out a large amount of invalid and illegal audio and video data through machine review, and only pushes a small amount of potentially illegal data for manual review. [0003] In the review system, the audio and video data is generally identified and analyzed through the trained classification recognition model, and the corresponding label category is output. However, when proposing a new audit type, i...

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): G06K9/62G06V10/774G06V10/764G06V10/82G06N3/08
CPCG06N3/08G06F18/241G06F18/214
Inventor 易帆
Owner BIGO TECH PTE 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
Try Eureka
PatSnap group products