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Server model identification method and device based on similarity matching and medium

A technology of similarity matching and recognition methods, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve problems such as difficult identification of unknown servers

Pending Publication Date: 2022-03-01
山东新一代信息产业技术研究院有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are many types of servers, and they are updated quickly. When using the neural network model to identify servers, it is impossible to obtain a large amount of server data for model training, making it difficult to identify rare unknown servers during the training process.

Method used

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  • Server model identification method and device based on similarity matching and medium
  • Server model identification method and device based on similarity matching and medium

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Embodiment Construction

[0023] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described The embodiments are only some of the embodiments in this specification, not all of them. Based on the embodiments of this specification, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of this specification.

[0024] In the current research on image classification and recognition, most of them use neural network models for classification and recognition. Compared with traditional classification methods, the current mature neural network architecture can independently learn features from training samples, extract higher dimensions, and more Abstract features are an en...

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Abstract

The embodiment of the invention discloses a server model identification method and device based on similarity matching and a medium, and the method comprises the steps: obtaining a to-be-identified server image, carrying out the feature extraction of the to-be-identified server image through a pre-constructed feature extraction model, and obtaining the features of a to-be-identified server; performing similarity matching on the to-be-identified server features and server features pre-stored in a specified database, and determining server features meeting requirements; and determining a to-be-identified server model according to the server model corresponding to the server feature meeting the requirement. The server image is subjected to feature extraction through the feature extraction model, the extracted features and the features in the database are subjected to similarity matching to obtain the model of the server, secondary training of the model is avoided in the process, and the server image of which the category is not recognized in the training process can also be recognized.

Description

technical field [0001] This specification relates to the field of artificial intelligence technology, and in particular to a server model identification method, device and medium based on similarity matching. Background technique [0002] In the current research on image classification and recognition, most of them use neural network models for classification and recognition. Compared with traditional classification methods, the current mature neural network architecture can independently learn features from training samples, extract higher dimensions, and more Abstract features are an end-to-end model. Model training based on massive labeled samples can improve the recognition accuracy, but due to the high cost of labeling massive data, if there are rare categories or lack of massive data sets, the training results of the model will be greatly affected. [0003] With the development of computer technology, there are more and more types of servers. In some specific scenario...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V20/10G06V10/40G06V10/74G06V10/774G06V10/764G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/04G06N3/08G06F18/22G06F18/24G06F18/214
Inventor 王雯哲高岩郝虹高明王建华
Owner 山东新一代信息产业技术研究院有限公司
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