Visual model training method and device, equipment and storage medium

A visual model and training method technology, applied in the field of computer vision, can solve the problems of less sample data, difficulty in obtaining sample data, low model performance, etc., and achieve the effect of model performance improvement

Pending Publication Date: 2021-09-28
SF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technology improves on existing methods for generating models based on samples from different sources. By comparing two images with each other or creating new ones instead of just one, we can improve our ability to learn better how well these systems work compared against previous versions without sacrificing accuracy.

Problems solved by technology

The technical problem addressed by this patented method for training models that can recognize smaller samples accurately without requiring too much labelled dataset or complicated procedures during its process has been solved through various techniques like ensemble methods (LF), neural networks (NN) and genetic algorithm(GA).

Method used

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  • Visual model training method and device, equipment and storage medium
  • Visual model training method and device, equipment and storage medium
  • Visual model training method and device, equipment and storage medium

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Embodiment Construction

[0061] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. 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 those skilled in the art without making creative efforts belong to the scope of protection of this application.

[0062] In the description of the embodiments of the present application, it should be understood that the terms "first" and "second" are only used for descriptive purposes, and cannot be interpreted as indicating or implying relative importance or implicitly indicating the indicated technical features. quantity. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of said features. In the description of the embodiments of the present application, "plural

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Abstract

The embodiment of the invention discloses a target vision model training method and device, equipment and a storage medium. The target vision model training method comprises the following steps: acquiring a first sample image and a background image; obtaining a target image according to the first sample image, and placing the target image in the background image to obtain a second sample image; inputting each sample image into a to-be-trained model, so that the to-be-trained model predicts a corresponding prediction category according to the sample image; and determining a first loss value according to the target category and the prediction category, adjusting model parameters of the to-be-trained model according to the first loss value until a preset training stopping condition is met, and taking the trained to-be-trained model as a target visual model. According to the embodiment of the invention, the problem of low model performance caused by few sample data, difficulty in sample data acquisition and the like can be solved.

Description

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Claims

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Application Information

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Owner SF TECH
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