Neural network training method, device and system, and storage medium

A neural network and training method technology, applied in the field of image recognition based on neural network, can solve the problem of unable to obtain image recognition results, and achieve the effect of improving accuracy

Inactive Publication Date: 2018-11-23
BEIJING KUANGSHI TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

When there are more and more types of objects and / or scenes with this kind of neural network, it will not be able to obtain ideal image recognition results for images with complex content.

Method used

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  • Neural network training method, device and system, and storage medium
  • Neural network training method, device and system, and storage medium
  • Neural network training method, device and system, and storage medium

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Embodiment Construction

[0053] In order to make the objects, technical solutions and advantages of the present invention more apparent, exemplary embodiments according to the present invention will be described in detail below with reference to the accompanying drawings. Apparently, the described embodiments are only some embodiments of the present invention, rather than all embodiments of the present invention, and it should be understood that the present invention is not limited by the exemplary embodiments described here. Based on the embodiments of the present invention described in the present invention, all other embodiments obtained by those skilled in the art without creative efforts shall fall within the protection scope of the present invention.

[0054] First, refer to figure 1 An example electronic device 100 for implementing the method and apparatus for training a neural network for image recognition according to an embodiment of the present invention will be described.

[0055] Such as ...

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Abstract

The invention provides a neural network training method, device and system for image recognition, a storage medium and an image recognition method based on a neural network. The training method comprises the steps of receiving sample images of category labels marked with N image classification levels, wherein the category of the next level in the adjacent image classification levels is the sub-category of the category of the previous level, and N is an integer larger than 1; training the neural network by utilizing the sample images, wherein based on the classification labels of the image classification levels, the classification losses for the sample images are calculated respectively to serve as the level losses of the image classification levels; calculating the total loss according tothe level losses of the image classification levels; and training parameters of the neural network by using the total loss as an objective function. According to the technical scheme, the neural network capable of more accurately performing image recognition is obtained.

Description

technical field [0001] The present invention relates to the technical field of image processing, more specifically to a neural network training method, device, system and storage medium for image recognition, and also to a neural network-based image recognition method. Background technique [0002] Image recognition refers to the technology of analyzing and processing images to identify various objects in the images. Its goal is to automatically determine which specific object or specific scene the object in the image belongs to given an image. Today, image recognition plays a very important role in smart camera photography, smart album management, image classification and retrieval, image security monitoring, etc., and has therefore received extensive attention and research. [0003] In existing image recognition methods, all target categories (including foreground objects and backgrounds) are directly used as the output of the neural network to train the parameters of the...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/08G06K9/00
CPCG06N3/08G06V20/20
Inventor 黄鼎张诚朱星宇
Owner BEIJING KUANGSHI TECH
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