Classification model construction method, classification model and object recognition method

A classification model and construction method technology, applied in the field of deep learning, can solve the problem of low classification performance

Active Publication Date: 2019-09-17
CLOUDMINDS SHANGHAI ROBOTICS CO LTD
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  • Abstract
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  • Application Information

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Problems solved by technology

[0003] However, the inventors have found at least the following problems in the prior art: when training the classification model, all categories are usually pla

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  • Classification model construction method, classification model and object recognition method
  • Classification model construction method, classification model and object recognition method
  • Classification model construction method, classification model and object recognition method

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Embodiment Construction

[0021] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, various implementation modes of the present invention will be described in detail below in conjunction with the accompanying drawings. However, those of ordinary skill in the art can understand that, in each implementation manner of the present invention, many technical details are provided for readers to better understand the present application. However, even without these technical details and various changes and modifications based on the following implementation modes, the technical solution claimed in this application can also be realized.

[0022] The first embodiment of the present invention relates to a method for constructing a classification model. The core of this embodiment is to provide a method for constructing a classification model, which includes: obtaining a feature vector of each category in known images of N categories; The vector...

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Abstract

The embodiment of the invention relates to the technical field of deep learning, and discloses a classification model construction method, which comprises the following steps of: obtaining a feature vector of each category in N categories of known images; clustering the N categories according to the feature vectors to form a multi-layer classification hierarchical tree; taking inner nodes of the multi-layer classification hierarchical tree as nodes of the classification model, and training each node to obtain the classification model. According to the classification model construction method, the classification model and the object recognition method provided by the embodiment of the invention, the constructed classification model has a plurality of hierarchies, and the classification performance is relatively high.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of deep learning, and in particular to a method for constructing a classification model, a classification model, and an object recognition method. Background technique [0002] In recent years, compared with traditional classification methods, classification methods based on deep learning have made significant breakthroughs in classification effects and high classification accuracy. As deep learning networks such as ResNet and DenseNet have been continuously proposed, based on deep learning The classification method has gradually become the main trend of classification applications. [0003] However, the inventors found at least the following problems in the prior art: when training the classification model, all categories are usually placed in the same level to train the classification model, and the resulting classification model has only one level, and the classification performa...

Claims

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/24323G06F18/214
Inventor 朱晓雅南一冰廉士国
Owner CLOUDMINDS SHANGHAI ROBOTICS CO LTD
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