Image classification method, image classification device, storage medium and electronic equipment

A classification method and image technology, applied to instruments, character and pattern recognition, computer components, etc., can solve problems such as increasing algorithm complexity, difficulty in determining thresholds, and limited filtering capabilities

Active Publication Date: 2019-11-19
GUANGDONG OPPO MOBILE TELECOMM CORP LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in this method, it is often difficult to determine an appropriate threshold: if the threshold is too low, the filtering ability is limited; if the threshold is too high, images of the correct category may

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  • Image classification method, image classification device, storage medium and electronic equipment
  • Image classification method, image classification device, storage medium and electronic equipment
  • Image classification method, image classification device, storage medium and electronic equipment

Examples

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Embodiment Construction

[0035] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or more of the specific details being omitted, or other methods, components, devices, steps, etc. may be adopted. In other instances, well-known technical solution...

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Abstract

The invention provides an image classification method, an image classification device, a storage medium and electronic equipment, and relates to the technical field of artificial intelligence. The method comprises the following steps: extracting intermediate features of a to-be-processed image by utilizing a pre-trained image classification network; determining the similarity between the intermediate feature of the to-be-processed image and the reference features of each category, wherein each category is each image classification category associated with the image classification network; matching the similarity between the intermediate feature of the to-be-processed image and the reference feature of each category with predetermined similarity probability distribution of each category toobtain a classification result of the to-be-processed image, wherein the classification result comprises the step of determining that the to-be-processed image belongs to a target category in the categories, or determining that the to-be-processed image does not belong to the categories. According to the disclosure, the accuracy of image classification can be improved, and particularly, the misclassification situation for out-of-class images can be reduced.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, and in particular to an image classification method, an image classification device, a computer-readable storage medium, and electronic equipment. Background technique [0002] With the development of deep learning technology and the application of large-scale data sets like ImageNet (a large image database for computer vision), image classification and recognition have achieved high accuracy. However, when the image classification algorithm is applied to the real life scene (open set), some images usually appear, which do not belong to any category in the training set, and these images are called out-of-class images; in the image classification of the open set scene , out-of-class images may be misclassified into the categories in the training set, affecting the accuracy of classification. [0003] In the prior art, by adjusting the probability threshold of image classi...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/46
CPCG06V10/40G06F18/22G06F18/24G06F18/214
Inventor 侯允
Owner GUANGDONG OPPO MOBILE TELECOMM CORP LTD
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