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Image processing method and device, electronic equipment and storage medium

An image processing and image technology, applied in the field of computer vision, can solve the problems of inaccurate models, poor results, not considering the difficulty of learning, differences in convergence characteristics, etc., to improve the training effect and ensure the stability.

Pending Publication Date: 2020-07-03
SHENZHEN SENSETIME TECH CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it does not take into account the differences in learning difficulty and convergence characteristics of different samples and different types of data, as well as the correlation between samples, so that the model obtained by training is not accurate enough, which may be applied in the process of face recognition scenarios. not effectively

Method used

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

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Embodiment Construction

[0098] The following will clearly and completely describe the technical solutions in the embodiments of the present disclosure with reference to the accompanying drawings in the embodiments of the present disclosure. Apparently, the described embodiments are only some of the embodiments of the present disclosure, not all of them. Based on the embodiments in the present disclosure, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present disclosure.

[0099] The term "and / or" in this disclosure is only an association relationship describing associated objects, indicating that there may be three relationships, for example, A and / or B, which may indicate: A exists alone, A and B exist simultaneously, There are three cases of B alone. In addition, the term "at least one" herein means any one of a variety or any combination of at least two of the more, for example, including at least one of A, B,...

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Abstract

The embodiment of the invention discloses an image processing method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining at least one batch of to-be-processed images, and enabling each batch of to-be-processed images to comprise a plurality of to-be-processed images; in the same batch of images to be processed, a first image and a second image corresponding to the first image are acquired, and the convergence degree of the second image is higher than that of the first image; determining a supervision parameter for supervising the first image based on the first image and the second image; and based on the supervision parameters, training the at least one batch of to-be-processed images to obtain a target model.

Description

technical field [0001] The present disclosure relates to the technical field of computer vision, and in particular to an image processing method, device, electronic equipment and storage medium. Background technique [0002] In the field of image processing, more and more attention has been paid to the discussion and application of face recognition technology. The face recognition problem is an open set problem, that is, a good face recognition algorithm should be able to recognize faces other than the training set. [0003] Generally, the face recognition algorithm based on deep learning maps the face pictures as samples into the feature space by learning a large amount of training data, and judges the similarity between face samples by comparing the cosine similarity of features. However, the differences in learning difficulty and convergence characteristics of different samples and different types of data, as well as the correlation between samples, are not considered, so...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/172G06F18/22G06F18/214
Inventor 苏英程吴一超
Owner SHENZHEN SENSETIME TECH CO LTD
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