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Training method of image search model and image search method

A training method and image search technology, applied in the field of computer vision and deep learning, can solve problems such as poor reliability, harsh search text constraints, and imperfect image search methods

Active Publication Date: 2021-11-02
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, in related technologies, the cross-modal image search method is not yet perfect, so there are often technical problems such as too strict search text constraints, low search efficiency, and poor reliability.

Method used

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  • Training method of image search model and image search method
  • Training method of image search model and image search method
  • Training method of image search model and image search method

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Embodiment Construction

[0036] Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0037] The following is a brief description of the technical field involved in the scheme of the present disclosure:

[0038] Computer Technology has a wide range of contents and can be roughly divided into several aspects such as computer system technology, computer device technology, computer component technology and computer assembly technology. Computer technology ...

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Abstract

The invention provides a training method of an image search model and an image search method, relates to the field of artificial intelligence, in particular to a computer vision and deep learning technology, and can be applied to an image search scene. According to the specific implementation scheme, a sample text is obtained, wherein the sample text comprises a first language text and a second language text; and a semantic transformation network in the cross-modal image-text retrieval model is trained based on the sample text to obtain a target semantic transformation network, and a final target cross-modal image-text retrieval model is generated based on the target semantic transformation network. Therefore, the cross-modal image-text retrieval method and the cross-modal image-text retrieval system have the advantages that rich and accurate feature representation of the cross-modal image-text retrieval model subjected to large-scale data training can be kept, migration is not lost, meanwhile, only semantic alignment is performed, cross-modal search from any language text to image is realized, and efficiency and reliability in the training process of the image search model are improved.

Description

technical field [0001] The present disclosure relates to the field of computer technology, and more specifically to the field of artificial intelligence, specifically to computer vision and deep learning technology, which can be applied to image search scenarios. Background technique [0002] Retrieval technology is applied in all aspects of daily life, and it can be roughly divided into three major directions. One is image / video retrieval, such as taking pictures to search for the same product, similar short video search; The search keywords can retrieve the text information you are trying to search for. In addition, the demand for using text to search for corresponding pictures or videos is also increasing. At this time, the type of input information is different from the type of information obtained, which can be called "cross-modal" retrieval. [0003] However, in related technologies, the cross-modal image search method is not yet perfect. Therefore, there are often t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/583G06F16/332G06F40/30G06K9/62
CPCG06F16/5846G06F16/3329G06F40/30G06F18/214G06F16/5866G06F40/279G06F40/44G06F16/56
Inventor 杨敏朱若琳
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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