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Data processing method and device, model training method and device and equipment

A data processing and pre-training technology, applied in the field of neural networks to achieve the effect of improving accuracy and generalization

Pending Publication Date: 2021-09-17
ALIBABA GRP HLDG LTD
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Problems solved by technology

[0005] The embodiment of the present application provides a data processing method, model training method, device and equipment to solve the problem of how to improve the generalization of the neural network model in order to improve the accuracy of the neural network model in the prior art

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  • Data processing method and device, model training method and device and equipment
  • Data processing method and device, model training method and device and equipment
  • Data processing method and device, model training method and device and equipment

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Embodiment Construction

[0048] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0049] Terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the present application. The singular forms "a", "said" and "the" used in the embodiments of this application and the appended claims are also intended to include plural forms, unless the context clearly indi...

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Abstract

The embodiment of the invention provides a data processing method and device, a model training method and device and equipment. The data processing method comprises the following steps: acquiring a to-be-processed image; inputting the to-be-processed image into a trained neural network model for processing to obtain an image processing result. The trained neural network model is obtained by training an initial neural network model based on a meta-learning technology, and the initial neural network model comprises a feature extraction network obtained based on a self-supervised pre-training mode. The generalization of the neural network model is improved, and the accuracy of the neural network model is improved.

Description

technical field [0001] The present application relates to the technical field of neural networks, and in particular to a data processing method, a model training method, a device and equipment. Background technique [0002] With the continuous development of neural network technology, neural network models have been widely used in various fields to solve various problems, such as image classification problems. [0003] In the scenario where the number of samples is scarce, there are risk pictures with rich categories but few in number, which are called long-tail risk pictures. In order to improve the generalization of the neural network model and improve the accuracy rate of the neural network model in the scenario where the number of samples is scarce (that is, a small sample scenario), Meta Learning (Meta Learning) technology can be used to realize the accuracy of the neural network model in the scenario where the number of samples is scarce. train. Moreover, in the proc...

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/088G06N3/045G06F18/2155
Inventor 陈达陈岳峰
Owner ALIBABA GRP HLDG LTD
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