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Object classification method and device

A technology of objects and classification models, applied in the computer field, can solve problems such as slow response speed and low precision, and achieve the effects of improving accuracy and response speed, reducing time, and improving reasoning efficiency

Pending Publication Date: 2020-05-05
HUAWEI CLOUD COMPUTING TECH CO LTD
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  • Application Information

AI Technical Summary

Problems solved by technology

In the existing technology, the combination of device and cloud to achieve object classification has low accuracy and slow response speed

Method used

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  • Object classification method and device
  • Object classification method and device

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Embodiment Construction

[0041] Introduction to Terminology

[0042] Object: A signal that can be recognized by a computer and converted into data, eg audio, image, video.

[0043] Object classification: A classification task that uses objects as input data, and the output is the classification category or the probability that each object belongs to a certain category, etc.

[0044] Cloud computing device system: a computing device cluster that provides computing resources, storage resources, and network resources. The computing device cluster may be provided by the cloud service provider and leased by the customer.

[0045] Terminal computing devices: Terminal computing devices, such as smartphones, smart cameras, cameras, laptops, etc., or edge computing devices, such as edge servers.

[0046] Device / cloud collaboration: refers to the operation of a certain system or device that needs to use the resources of the terminal computing equipment and cloud computing equipment system.

[0047] Neural ne...

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Abstract

The invention discloses an object classification method, and the method comprises the steps: constructing an end-cloud combined object classification model in a training process, and the end-cloud combined object classification model comprises an end model and a cloud model; training the end-cloud combined object classification model according to at least one training object; and storing the trained cloud model and the end model. Inference process, the end computing equipment operates the end model to obtain an end model reasoning result; when the confidence coefficient of the end model reasoning result is smaller than or equal to a threshold value, sending the feature vector output by the end model to a cloud model running on cloud computing equipment, and reasoning the feature vector output by the end model sent by the end computing equipment on the cloud computing equipment according to the cloud model to obtain a cloud model reasoning result; and when the confidence coefficient ofthe end model reasoning result is greater than a threshold value, the end model outputs the end model reasoning result. Through the method of combining the end cloud with the object classification, the precision of the object classification is improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a method and device for classifying objects. Background technique [0002] In recent years, with the rapid development of cloud computing, big data and deep learning, a new wave of artificial intelligence has come. Classification of audio, image, video and other objects, as a key research area of ​​computer hearing and vision, has attracted a lot of investment from academia and industry. At present, the convolutional neural network has made good progress in the classification of audio, image, video and other objects, and the classification of these data has been widely used in many fields, such as: audio pornography, face detection, license plate recognition, Album classification, video review, etc. [0003] The advent of the era of cloud computing has also led to the rapid development of various services, followed by various intelligent applications. Many industri...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/2413G06N3/04G06F3/0484
Inventor 埃桑.莫希丁克曼张勇王岚君
Owner HUAWEI CLOUD COMPUTING TECH CO LTD
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