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Picture recognition method and system

A picture recognition, picture technology, applied in character and pattern recognition, instruments, computer parts and other directions, can solve the problem of low recognition rate, and achieve the effect of avoiding low recognition rate

Active Publication Date: 2018-06-15
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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Problems solved by technology

Therefore, the recognition rate is low

Method used

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  • Picture recognition method and system

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Embodiment Construction

[0057] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0058]In addition, the term "and / or" in this article is only an association relationship describing associated objects, which means that there may be three relationships, for example, A and / or B, which may mean: A exists alone, A and B exist at the same time, There are three cases of B alone. In addition, the character " / " in this article generally indicates...

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Abstract

The invention provides a picture recognition method and system. The method comprises the following steps of: obtaining a to-be-recognized picture; inputting the to-be-recognized picture into a pre-trained picture recognition model so as to obtain a predicted category label of the to-be-recognized picture, wherein the pre-trained picture recognition model adopts a convolutional neural network model, the convolutional neural network model comprises an input layer, a convolution layer, an attention branch, an element-wise operation layer, a pooling layer, a full connection layer and an output layer, the attention branch is used for determining a weight of each area of the picture according to global features of each area of the to-be-recognized picture, and the element-wise operation layer isused for weighting local features, of the picture, output by the convolution layer according to the weight of each area of the picture; and recognizing a category of the to-be-recognized picture according to the predicted category label of the to-be-recognized picture. According to the method and system, the problem that the efficiency of recognizing specific types of pictures such as pictures with too small main body areas or embedded / spliced pictures is relatively low is solved.

Description

【Technical field】 [0001] This application relates to the field of artificial intelligence, in particular to a method and system for image recognition. 【Background technique】 [0002] In many application scenarios, pictures need to be classified to facilitate picture management. For example, all Internet companies that involve UGC (user-generated data) need to filter pornographic images in accordance with relevant national regulations. [0003] When there are few pictures, the pictures can be classified manually. However, with the development of network technology, it is usually necessary to classify thousands of pictures in the network scene, and manual processing has become too impractical. Therefore, in the network scene, how to intelligently identify pictures, classification becomes more important. [0004] In the existing technical solutions, computer vision technology can be used to automatically review pornographic images, but they are all classified based on the en...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/24G06F18/214
Inventor 边云龙李鑫刘霄李旭斌孙昊文石磊丁二锐
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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