Model training method and device, image recognition method and device and terminal equipment

A model training and image technology, applied in the field of image processing, can solve the problems of simple restoration model, low recognition accuracy, and inability to effectively restore images, so as to improve robustness and accuracy, reduce recognition complexity, and ensure image restoration effect of effect

Inactive Publication Date: 2020-06-30
MASHANG CONSUMER FINANCE CO LTD
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AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a model training method, image recognition method, device, and terminal equipment to solve the problem that when the existing image recognition method recognizes an incomplete image, the image restoration model used is simple and cannot effectively restore the image, resulting in a The problem of low accuracy

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  • Model training method and device, image recognition method and device and terminal equipment
  • Model training method and device, image recognition method and device and terminal equipment
  • Model training method and device, image recognition method and device and terminal equipment

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Embodiment Construction

[0032] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0033] See figure 1 , figure 1 is a flowchart of a model training method provided by an embodiment of the present invention, the method is applied to a terminal device, such as figure 1 As shown, the method includes the following steps:

[0034] Step 101: Input the obtained random noise into the generator of the pre-built confrontation network model to obtain the first generated sample.

[0035] Wherein, the random noise can be chosen to satisfy the...

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Abstract

The invention provides a model training method, an image recognition method and apparatus, and a terminal device. The image recognition method comprises the steps of obtaining a to-be-recognized incomplete image; inputting the incomplete image into an image recovery model, and outputting a complete image corresponding to the incomplete image, wherein the image recovery model is obtained by pre-training based on a staged progressive training process, a training sample in the training process comprises an incomplete image and a binary image of the incomplete image, and the binary image is used for adjusting model parameters, related to generated image feature expression, of the model in the training process; and inputting the complete image into a pre-trained image recognition model, and outputting a recognition result representing image object information of the incomplete image. According to the embodiment of the invention, the method can guarantee the image restoration effect, converts a complex task of recognizing an incomplete image into a conventional complete image recognition task, greatly improves the recognition robustness and precision, and reduces the recognition complexity.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a model training method, image recognition method, device and terminal equipment. Background technique [0002] As one of the most widely recognized technologies in society, face recognition can be seen in almost every field. Face recognition technology is an indispensable participant in a series of applications such as citizenship verification by public security organs, user credit investigation in the financial field, and user information in the insurance industry. With the continuous development of technology, the recognition accuracy of face recognition technology is also constantly breaking new records, so far it has infinitely approached 100% recognition accuracy. However, there is a prerequisite for the above situation. The provided face images to be recognized are all unoccluded and missing. Once occluded or missing, the current face recognition technolo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/36G06K9/00
CPCG06V40/16G06V40/172G06V10/20G06F18/214
Inventor 李威
Owner MASHANG CONSUMER FINANCE CO LTD
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