Image classification method, apparatus, terminal device, and storage medium

A classification method and image technology, applied in the field of image processing, can solve problems such as inability to obtain image classification results

Active Publication Date: 2019-03-26
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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  • Abstract
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Problems solved by technology

However, when faced with the problem of high-fine-grained image classification (that is, the difference between two different types

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  • Image classification method, apparatus, terminal device, and storage medium
  • Image classification method, apparatus, terminal device, and storage medium
  • Image classification method, apparatus, terminal device, and storage medium

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Embodiment Construction

[0029] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0030] Embodiments of the present invention provide an image classification method, device, terminal equipment, and computer storage medium, which can obtain accurate image classification results even in the face of high-fine-grained image classification problems.

[0031] see figure 1 , the first embodiment of an image classification method in the embodiment of the present invention includes:

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Abstract

The invention relates to the technical field of image processing, and provides an Image classification method, apparatus, terminal device, and storage medium. After the image to be classified is acquired, the image to be classified is input into a convolution neural network model constructed in advance to obtain the image characteristics of the image to be classified; Then, the target text corresponding to the image to be classified is selected from the preset text library, the target text is converted into a word vector, and a pre-constructed circulating neural network model is input to obtain the text characteristics of the target text. Then, the weighted image features are obtained by combining the text features with the weighted superposition processing of the image features. Finally,the weighted image features and the text features are fused by bilinear multiplication, and two classes of classification are completed by using the fused features to obtain the image classes of the image to be classified. The invention can solve the problem of high-fine-grained image classification.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image classification method, device, terminal equipment and computer storage medium. Background technique [0002] Image classification refers to an image processing method that distinguishes different types of images according to the different characteristics reflected in the image information. It uses a computer to conduct quantitative analysis on images, and classifies images into one of several categories to replace humans. visual judgment. At present, deep-based neural network models are commonly used to classify images. The processing process is: use sample images of known categories to train the neural network model, input images to be classified into the neural network model, and judge according to the output results of the neural network model. The category of the image to be classified. However, when faced with the problem of high-fine-grained imag...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06F16/35G06N3/04G06N3/08
CPCG06N3/084G06N3/045G06F18/24G06F18/253
Inventor 乔宇庄培钦王亚立
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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