Image processing method and device, computer device and storage medium

An image processing and image technology, applied in computer parts, computing, neural learning methods, etc., can solve problems such as redundant computing

Active Publication Date: 2019-05-21
SHENZHEN SENSETIME TECH CO LTD
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  • Claims
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Problems solved by technology

However, SN still has an important defect: since SN calculates the weighting coefficients of statistics of different normalization methods through the change of normalized exponential function (softmax), the weighting coefficients are not equal t

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  • Image processing method and device, computer device and storage medium
  • Image processing method and device, computer device and storage medium
  • Image processing method and device, computer device and storage medium

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Embodiment Construction

[0106] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, 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 application. The following examples are used to illustrate the present application, but not to limit the scope of the present application.

[0107] 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 application, such as Figure 1A As shown, the network architecture includes two or more computer devices 11 to 1N and a server 30 , wherein the computer devices 11 to 1N and the server 31 interact through the network 21 . During implementation, the computer equipment may be various types of computer equipment with information processing capabilities, for example, the computer...

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Abstract

The embodiment of the invention provides an image processing method and device, a computer device and a storage medium, and the method comprises the steps: obtaining a first feature map of a to-be-processed image; determining a final weight vector of the first feature map; determining a target normalization mode corresponding to the first feature map in a preset normalization set according to thefinal weight vector; and performing normalization processing on the first feature map by adopting the target normalization mode to obtain a second feature map.

Description

technical field [0001] The embodiments of the present application relate to the field of computer vision communication, and relate to, but are not limited to, an image processing method and device, computer equipment, and storage media. Background technique [0002] In the image processing method based on deep learning, normalization is an indispensable module. At present, the industry has proposed many normalization methods for different learning tasks, including batch normalization (BatchNormalization, BN) for image classification, layer normalization (Layer Normalization, LN) for sequence prediction, suitable for Instance normalization (InstanceNormalization, IN) for generative models, and group normalization (GroupNormalization, GN) for a wider range of applications. However, these normalization methods are only for specific model-specific tasks. In order to overcome this obstacle and further improve the performance of neural networks, Adaptive Normalization (Switchable...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06V10/32
CPCG06N3/084G06V10/32G06V10/454G06V10/82Y02B10/40G06N5/01G06N3/045G06N3/04G06N3/08G06F18/213G06F18/217
Inventor 邵文琪孟天健张瑞茂罗平吴凌云
Owner SHENZHEN SENSETIME TECH CO LTD
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