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An image recognition method and device, computer equipment and storage medium

An image recognition and image technology, applied in the field of deep learning, can solve the problem of low accuracy of image recognition

Active Publication Date: 2020-07-14
BEIJING SENSETIME TECH DEV CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides an image recognition method and device, computer equipment, and storage medium, which solves the problem in the prior art that when the appearance of the image changes, after processing by using BN or IN alone in the neural network , the problem of low accuracy of image recognition, by combining IN and BN and applying it to the neural network, the accuracy of image recognition is effectively improved

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  • An image recognition method and device, computer equipment and storage medium
  • An image recognition method and device, computer equipment and storage medium
  • An image recognition method and device, computer equipment and storage medium

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Embodiment Construction

[0062] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the specific technical solutions of the invention will be further described in detail below in conjunction with the drawings in the embodiments of the present invention. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0063] This embodiment first provides a network architecture, Figure 1A It is a schematic diagram of the composition structure of the network architecture of the embodiment of the present invention, such as Figure 1A As shown, the network architecture includes two or more computer devices 11 to 1N and a server 31 , wherein the computer devices 11 to 1N and the server 31 interact through the network 21 . The computer equipment may be various types of computing equipment with information processing capabilities during implementation, for example, the ...

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Abstract

Embodiments of the present invention provide an image recognition method and device, computer equipment, and a storage medium, wherein the method includes: acquiring an image to be recognized; inputting the image to be recognized, and obtaining the neural network model obtained through training to obtain the The recognition result of the image to be recognized, wherein the neural network model is obtained after performing instance normalization and batch normalization processing on the feature map output by the convolution layer in the neural network; output the image to be recognized recognition result.

Description

technical field [0001] The present invention relates to the field of deep learning, in particular to an image recognition method and device, computer equipment and a storage medium. Background technique [0002] Convolutional Neural Networks (CNN) has become a mainstream method in the field of computer vision. For image understanding tasks such as image classification, object detection and semantic segmentation, the existing mainstream convolutional neural network is Oxford University Computer Vision Group (Visual Geometry Group, VGG), residual network (ResidualNetwork, ResNet), densely connected convolution Networks (Dense Convolutional Network, DenseNet) and others use Batch Normalization (BN) to speed up training. However, these convolutional neural networks are less robust to changes in image appearance. For example, when the color, contrast, style, scene, etc. of the image are changed, the performance of these convolutional neural networks will drop significantly. ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06N3/08G06V10/764
CPCG06N3/08G06F18/211G06N3/082G06V10/454G06V10/82G06V10/764G06N3/048G06N3/045G06N3/04G06F18/253
Inventor 潘新钢石建萍罗平汤晓鸥
Owner BEIJING SENSETIME TECH DEV CO LTD
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