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Image processing model training method and device, electronic equipment and storage medium

A technology of image processing and training methods, applied in the field of image processing, can solve problems such as low accuracy rate and low image recognition efficiency, and achieve the effect of improving efficiency

Pending Publication Date: 2021-08-06
卓尔智联(武汉)研究院有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] In view of this, the embodiment of the present application provides an image processing model training method, image matching method, device, electronic equipment, and storage medium, so as to at least solve the problems of low image recognition efficiency and low accuracy in related technologies

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  • Image processing model training method and device, electronic equipment and storage medium
  • Image processing model training method and device, electronic equipment and storage medium
  • Image processing model training method and device, electronic equipment and storage medium

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Embodiment Construction

[0044] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0045] In various embodiments of the present application, during the training process of the image processing model, the similarity matrix is ​​determined based on the semantic vector matrix and the label vector matrix of the image samples, the loss value of the image processing model is calculated, and according to the determined loss Value update the weight parameters of the image processing model, so that the trained image processing model can obtain a finer-grained image similarity level when processing the image, and based on the finer-grained image similarity level, i...

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Abstract

The invention discloses an image processing model training method and device, an image matching method and device, electronic equipment and a storage medium, and the training method comprises the steps: inputting an image sample into an image processing model, and obtaining a first hash code corresponding to the image sample; calculating a loss value of the image processing model based on the similarity matrix corresponding to the image sample; updating a weight parameter of the image processing model according to the determined loss value, wherein the image processing model obtains a first hash code corresponding to the image sample based on a similarity matrix corresponding to the image sample; determining the similarity matrix based on a semantic vector matrix and a label vector matrix of the image sample; and obtaining the semantic vector matrix and the label vector matrix based on a text associated with the image sample.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular to an image processing model training method, image matching method, device, electronic equipment and storage medium. Background technique [0002] Dermoscopy is a non-invasive microscopic image analysis technique for skin diseases. In related technologies, when performing dermoscopic diagnosis, the user needs to manually recognize the dermoscopic image, and it is easy to misjudge the lesions contained in the dermoscopic image during the image recognition process, resulting in low image recognition efficiency and low accuracy. Contents of the invention [0003] In view of this, the embodiments of the present application provide an image processing model training method, image matching method, device, electronic equipment, and storage medium, so as to at least solve the problems of low image recognition efficiency and low accuracy in related technologies. ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08G06T7/00
CPCG06T7/0012G06N3/084G06T2207/20132G06T2207/30088G06T2207/20081G06T2207/20084G06T2207/10056G06V20/693G06V20/698G06V2201/03G06V2201/07G06N3/045G06F18/22
Inventor 李纯懿
Owner 卓尔智联(武汉)研究院有限公司