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Apparel matching method and device, electronic device and storage medium

A technology of clothing and training methods, applied in the field of computer vision, can solve the problem of low accuracy and achieve the effect of improving accuracy

Active Publication Date: 2022-03-29
BEIJING SENSETIME TECH DEV CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the accuracy of related technologies for clothing collocation prediction is low

Method used

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  • Apparel matching method and device, electronic device and storage medium
  • Apparel matching method and device, electronic device and storage medium
  • Apparel matching method and device, electronic device and storage medium

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Embodiment Construction

[0181] Various exemplary embodiments, features, and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numbers in the figures indicate functionally identical or similar elements. While various aspects of the embodiments are shown in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

[0182] The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as superior or better than other embodiments.

[0183] The term "and / or" in this article is just an association relationship describing associated objects, which means that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist simultaneously, and there exists alone B these three situations. In addition, the term "at least one" herein mean...

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Abstract

The disclosure relates to a clothing matching method and device, electronic equipment, and a storage medium. The method includes: extracting the feature vectors of the single product images in the training image group through the first sub-neural network, wherein each training image group includes a plurality of single product images; The feature vectors of the two item images, generate or update the feature vectors of the sides corresponding to the two item images, and update the feature vectors of the item images according to the feature vectors of the sides corresponding to any item image; through the The second sub-neural network determines the collocation score corresponding to the training image group according to the updated feature vector of the single product image in any training image group; determines the first loss function according to the collocation score corresponding to the training image group value; according to the value of the first loss function, optimize the parameters of the second sub-neural network. The embodiments of the present disclosure can improve the accuracy of clothing collocation prediction.

Description

technical field [0001] The present disclosure relates to the technical field of computer vision, and in particular to a neural network training method and device for clothing matching, a clothing matching method and device, electronic equipment, and a storage medium. Background technique [0002] With the rise of online shopping, consumers are actively turning to smart clothing recommendation systems to find visually relevant fashion items, including clothes, shoes, bags, and more. However, the accuracy of clothing collocation prediction by related technologies is relatively low. Contents of the invention [0003] The disclosure proposes a technical solution for clothing collocation. [0004] According to an aspect of the present disclosure, a training method for a neural network for clothing matching is provided, including: [0005] Extracting the feature vectors of the single product images in the training image group through the first sub-neural network, wherein each ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/06G06N3/04G06N3/08
CPCG06Q30/0631G06N3/082G06N3/045
Inventor 刘鑫孙永斌刘子纬林达华
Owner BEIJING SENSETIME TECH DEV CO LTD