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Model generation method, apparatus, device and readable storage medium

A technology for model generation and model evaluation, which is applied in the field of deep learning, can solve problems such as poor effect, and achieve the effect of reducing difficulty

Active Publication Date: 2020-12-11
BEIJING YIZHEN XUESI EDUCATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, when using existing evaluation methods to evaluate the similarity of handwritten digital character images, the effect is relatively poor

Method used

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  • Model generation method, apparatus, device and readable storage medium
  • Model generation method, apparatus, device and readable storage medium
  • Model generation method, apparatus, device and readable storage medium

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Embodiment Construction

[0033] In the following, only some exemplary embodiments are briefly described. As those skilled in the art would realize, the described embodiments may be modified in various different ways, all without departing from the spirit or scope of the present application. Accordingly, the drawings and descriptions are to be regarded as illustrative in nature and not restrictive.

[0034] figure 1 A flowchart showing a model generation method according to an embodiment of the present application. Such as figure 1 As shown, the model generation method can include:

[0035] S101. Acquire a first type of image, where the label information of the first type of image includes a second type of image expressing the same content as the first type of image;

[0036] S102. Acquire a first neural network, where the first neural network includes an initial encoder and an initial decoder;

[0037] S103. Using the first type of image to train the first neural network to obtain the first encod...

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Abstract

The present application proposes a model generation method, device, device, and readable storage medium. The model generation method includes: acquiring a first type of image, the tag information of the first type of image includes a second type of image expressing the same content as the first type of image ; Obtain the first neural network, the first neural network includes an initial encoder and an initial decoder; use the first type of image to train the first neural network, and obtain the first encoder in the trained first neural network; wherein, the first The encoder is used to encode the first type of image in the image pair to be predicted, so as to provide the encoding of the first type of image for evaluating the similarity of the image pair to be predicted. The present application is beneficial to reduce the difficulty of image similarity evaluation.

Description

technical field [0001] The present application relates to the technical field of deep learning, and in particular to a model generation method, device, device and readable storage medium. Background technique [0002] The current image similarity evaluation methods based on deep learning have achieved very good results in the similarity evaluation of natural scene images. Compared with handwritten digital character images, natural scene images have higher resolution, rich content, and more detailed information, while handwritten digital character images have single content and little difference in details. Therefore, when using the existing evaluation methods to evaluate the image similarity of handwritten digital characters, the effect is relatively poor. Contents of the invention [0003] Embodiments of the present application provide a model generation method, device, device, and readable storage medium to solve problems in related technologies. The technical solution ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T9/00G06K9/62G06N3/04
CPCG06T7/0002G06T9/002G06T2207/10004G06T2207/20132G06N3/045G06F18/22
Inventor 秦勇李兵
Owner BEIJING YIZHEN XUESI EDUCATION TECH CO LTD