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Pre-training model generation method and device, electronic equipment and storage medium

A pre-training and model technology, applied in the field of computer vision, deep learning, and artificial intelligence, can solve problems such as unsatisfactory accuracy

Pending Publication Date: 2021-11-16
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the pre-training model in related technologies has great limitations in scene migration and cannot meet the accuracy requirements.

Method used

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  • Pre-training model generation method and device, electronic equipment and storage medium
  • Pre-training model generation method and device, electronic equipment and storage medium

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Embodiment Construction

[0031] Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure 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 disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0032] A method, device, electronic device, and storage medium for generating a pre-training model according to embodiments of the present disclosure are described below with reference to the accompanying drawings.

[0033] figure 1 It is a schematic flowchart of a method for generating a pre-training model provided by an embodiment of the present disclosure.

[0034]...

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Abstract

The invention provides a pre-training model generation method and device, electronic equipment and a storage medium, relates to the technical field of artificial intelligence, in particular to the technical field of computer vision and deep learning, and can be applied to scenes such as image processing and image recognition. According to the scheme, the method includes performing a corresponding training task on a super network comprising a plurality of models; selecting a part of models from the trained super network to carry out model combination to obtain a plurality of groups of candidate model combinations; testing each group of candidate model combinations by adopting the first image set to obtain concerned image areas concerned by each group of candidate model combinations when feature extraction is performed on the first image set; selecting a target model combination from the multiple groups of candidate model combinations according to the area of the concerned image region of each group of candidate model combinations; and generating a pre-training model according to the target model combination. According to the invention, the target model combination is screened and determined according to the area of the concerned image region of each group of candidate model combinations, so that the precision of the model combination in the pre-training process is improved.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, in particular to the technical field of computer vision and deep learning, which can be applied to scenes such as image processing and image recognition, and specifically relates to a generation method, device, electronic equipment and storage medium of a pre-training model. Background technique [0002] In recent years, pretrained models have achieved great success. The pre-training model is trained with a large amount of data on the upstream task, and then, on the downstream task, only a small amount of data training is needed to achieve better results. However, the pre-training model in the related art has relatively large limitations in scene migration and cannot meet the accuracy requirements. Therefore, how to improve the accuracy of the generated pre-training model is an urgent technical problem to be solved. Contents of the invention [0003] The present discl...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/46
CPCG06F18/214
Inventor 希滕张刚
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD