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Model generation method and device, electronic equipment and storage medium

A model generation and model technology, applied in the field of mask-wearing face detection, can solve the problems of limited face recognition ability, unable to solve face recognition, and difficult to meet real-time mask-wearing face recognition

Pending Publication Date: 2020-10-09
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In related technologies, face recognition models are widely used. However, traditional face recognition models cannot solve face recognition in mask-wearing scenes. The model's ability to recognize faces in mask-wearing scenes is limited
In order to improve the model's ability to recognize faces in masked scenes, a particularly large model structure is required, but it is difficult to meet the needs of real-time masked face recognition with a very large model

Method used

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  • Model generation method and device, electronic equipment and storage medium
  • Model generation method and device, electronic equipment and storage medium
  • Model generation method and device, electronic equipment and storage medium

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Embodiment Construction

[0028] Exemplary embodiments of the present application are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present application 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 application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0029] The first embodiment of the present application provides a model generation method, such as figure 1 shown, including:

[0030] S101: Acquire the first model;

[0031] S102: Obtain the target model by performing N iteration operations search; wherein, N is an integer greater than or equal to 2;

[0032] Wherein, the i-th iterative operation in the N iterati...

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Abstract

The invention discloses a model generation method and device, electronic equipment and a storage medium, relates to the field of deep learning, cloud computing and computer vision in artificial intelligence, and specifically relates to the field of mask wearing face detection. The method specifically comprises the following steps: obtaining a first model; executing N times of iterative operation search to obtain a target model, wherein N is an integer greater than or equal to 2; in the ith iterative operation in the N iterative operations, an ith to-be-trained second model is obtained based onan ith model code generator; i is an integer greater than or equal to 1 and less than or equal to N; the structural complexity of the to-be-trained second model is lower than that of the first model;distilling the ith to-be-trained second model based on the first model to obtain a second model; and if the cumulative number of times of the iterative operation reaches a preset number-of-times threshold N, taking the second model as the searched target model.

Description

technical field [0001] This application relates to the field of computer technology. This application particularly relates to the fields of deep learning, cloud computing and computer vision in artificial intelligence, and is specifically used in the detection of faces wearing masks. Background technique [0002] In related technologies, face recognition models are widely used. However, traditional face recognition models cannot solve face recognition in mask-wearing scenes. The model's ability to recognize faces in mask-wearing scenes is limited. In order to improve the model's ability to recognize faces in masked scenes, a particularly large model structure is required, but a very large model is difficult to meet the needs of real-time masked face recognition. Therefore, how to make the processing of the model meet both real-time requirements and certain accuracy requirements has become a problem to be solved. Contents of the invention [0003] The disclosure provides...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V40/168G06V40/172G06N3/048G06N3/045
Inventor 希滕张刚温圣召
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD