Complex target asymptotic identification method and device based on knowledge classification

A complex target and recognition method technology, applied in the field of complex target asymptotic recognition methods and devices, to achieve powerful and efficient effects

Active Publication Date: 2020-07-10
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  • Abstract
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Problems solved by technology

[0008] The invention solves the problem of feature reference provided by coarse-grained tasks ignored in fine-grained recognition in real life

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  • Complex target asymptotic identification method and device based on knowledge classification
  • Complex target asymptotic identification method and device based on knowledge classification
  • Complex target asymptotic identification method and device based on knowledge classification

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Embodiment Construction

[0047] Preferred embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although preferred embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0048] The present invention aims to solve the problem of asymptotic recognition of complex objects in real life, and its goal is to recognize classes of objects at multiple resolutions (from low to high). In order to solve this problem, the present invention proposes a complex target asymptotic recognition method based on knowledge classification. This method combines the features of trilinear pooling and bilinear pooling to plan coarse-gr...

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Abstract

The invention provides a complex target asymptotic identification method and device based on knowledge classification. The method comprises the following steps: image preprocessing: dividing an original image data set I into data sets with multiple levels of resolutions to serve as a reference data set for asymptotic recognition of a complex target; inputting the images into a pre-trained VGG-16 network on an Image Net data set in batches for feature extraction; performing bilinear feature fusion calculation and trilinear feature fusion calculation on the extracted features with multiple resolutions; and predicting the category by using the fused features. According to the method, characteristics of trilinear pooling and bilinear pooling are fused, and a coarse-grained task and a fine-grained task of a complex target are planned in a unified framework. The feature reference provided by the coarse-grained task neglected in fine-grained identification in actual life is solved.

Description

technical field [0001] The invention belongs to the field of image recognition, relates to fine-grained image recognition and retrieval, in particular to a method and device for asymptotic recognition of complex targets based on knowledge classification. Background technique [0002] In recent years, fine-grained image recognition and retrieval has become a research hotspot in the field of visual computing and information retrieval. Although image recognition technology has made great progress in recent years, there are still many technical difficulties in fine-grained image recognition and retrieval that need to be broken through. [0003] The problem of fine-grained image classification is to identify subcategories under a large category. The difference and difficulty of the fine-grained image analysis task compared with the general image task is that the granularity of the category to which the image belongs is finer. Not only for computers, but for ordinary people, the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/41G06N3/045G06F18/241G06F18/253
Inventor 胡君贺东华方标新韦章兵贾小月殷贺琦刘丹
Owner AEROSPACE INFORMATION
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