Method and device for identifying object and computer readable storage medium
An object and equipment technology, applied in the field of object recognition, can solve the problems of wrong identification, decreased comparison accuracy, easy confusion, etc., and achieve the effect of easy expansion and maintenance
Active Publication Date: 2019-11-05
BOE TECH GRP CO LTD
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However, the feature comparison accuracy of this method will decrease, and when a new category is similar to the original category, it is easy to confuse and lead to misidentification
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[0017] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. It should be noted that the following description is for illustration only, and is not intended to limit the present disclosure. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present disclosure. It will be apparent, however, to one of ordinary skill in the art that these specific details need not be employed to practice the present disclosure. In other instances, well-known circuits, materials or methods have not been described in detail in order to avoid obscuring the present disclosure.
[0018] Throughout this specification, reference to "one embodiment," "an embodiment," "an example," or "an example" means that a particular feature, structure, or characteristic described in connect...
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According to the embodiment of the invention, a method and equipment for identifying an object and a computer readable storage medium are provided. The method comprises: determining a candidate classification of the object byusing a first neural network; and in response to determining the plurality of candidate classifications of the object, determining a classification of the object by using a plurality of second neural networks respectively corresponding to the plurality of candidate classifications. The equipment includes: a processor, a memory storing instructions that, when executed by aprocessor, cause the processor to: determine candidate classifications of the object by using a first neural network; and in response to determining the plurality of candidate classifications of the object, a classification of the object is determined by using a plurality of second neural networks respectively corresponding to the plurality of candidate classifications.
Description
technical field [0001] The present disclosure relates to the field of artificial intelligence, and more particularly to methods, devices, and computer-readable storage media for recognizing objects. Background technique [0002] With the gradual rise of unmanned supermarkets, in order to realize the automatic management of products in the supermarket and the automatic settlement of the shopping cart, it is necessary to identify the products in the supermarket through artificial intelligence technology such as image recognition, so as to automatically identify the product categories, thereby improving the user experience. experience and reduce management costs. [0003] A commonly used object recognition technique is, for example, using a convolutional neural network (CNN) to construct an object classifier. The object classifier can be used to identify different categories of commodities. However, although this method has high recognition accuracy, it has poor scalability. ...
Claims
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IPC IPC(8): G06K9/62G06K9/46G06N3/04G06V10/764
CPCG06V10/40G06N3/045G06F18/241G06N3/08G06V40/161G06V10/82G06V10/764G06V10/87G06F18/285G06F18/2431G06F18/2413G06F18/22
Inventor 唐小军
Owner BOE TECH GRP CO LTD