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Model training method, image similarity measurement method, terminal and storage medium

A technology for model training and training images, applied in the field of image processing

Pending Publication Date: 2020-12-08
SHANGHAI INTEGRATED CIRCUIT RES & DEV CENT +1
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  • Description
  • Claims
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Problems solved by technology

[0004] In view of the shortcomings of the prior art described above, the main purpose of this application is to provide a model training method, an image similarity measurement method, a terminal and a storage medium, to solve the problems of various shortcomings in the calculation of image similarity in the prior art

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  • Model training method, image similarity measurement method, terminal and storage medium
  • Model training method, image similarity measurement method, terminal and storage medium
  • Model training method, image similarity measurement method, terminal and storage medium

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Embodiment Construction

[0027] The implementation of the present application is described below by specific specific examples, and those who are familiar with this technology can easily understand other advantages and effects of the present application from the content disclosed in this specification.

[0028] In the following description, reference is made to the accompanying drawings, which illustrate several embodiments of the application. It is to be understood that other embodiments may be utilized, and module or unit composition, electrical, as well as operational changes may be made without departing from the spirit and scope of the present disclosure. The following detailed description should not be considered limiting, and the scope of the embodiments of the present application is defined only by the claims of the issued patent. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application.

[0029] As used herein, the ...

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Abstract

The model training method, the image similarity measurement method, the terminal and the storage medium are used for training and utilizing an image similarity measurement model, and the image similarity measurement model comprises at least one pair of image processing neural networks with the same structure and a similarity calculation module; in the model training method, a training image pair is input into a pair of image processing neural networks to obtain a pair of training feature vectors, a similarity comparison module compares the pair of feature vectors to obtain an estimated similarity result, and the loss between the estimated similarity result and a real similarity result is used for adjusting parameters of a model; if one or more test results obtained by inputting the test image data into the model do not reach the preset condition, repeating the previous steps until the training is completed; according to the method, a novel structure model different from a traditional image similarity algorithm is realized, feature representation is carried out on the training sample through the pair of image processing neural networks, joint learning of similarity measurement is carried out, and the measurement accuracy and the calculation efficiency are improved.

Description

technical field [0001] This application relates to the technical field of image processing, in particular to a model training method, an image similarity measurement method, a terminal and a storage medium. Background technique [0002] The calculation of image similarity is widely used in image matching, image retrieval and other fields. Traditional image similarity calculation methods are based on feature extraction by image processing methods, and use cosine similarity and other measurement methods to calculate feature vector similarity, which have disadvantages such as poor scalability, long time-consuming, and inaccurate measurement. [0003] Therefore, how to realize an efficient and accurate image similarity calculation scheme has become an urgent technical problem to be solved in the industry. Contents of the invention [0004] In view of the shortcomings of the prior art described above, the main purpose of this application is to provide a model training method, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06N3/045G06F18/22G06F18/214
Inventor 傅豪王鹏飞李琛周涛余学儒
Owner SHANGHAI INTEGRATED CIRCUIT RES & DEV CENT
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