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Convolutional neural network generation method and device

A convolutional neural network and convolution kernel technology, which is applied in neural learning methods, biological neural network models, neural architectures, etc., can solve problems such as low computing efficiency

Active Publication Date: 2019-07-26
HANGZHOU HIKVISION DIGITAL TECH
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Problems solved by technology

[0007] Embodiments of the present invention provide a method and device for generating a convolutional neural network, which can solve the problem of low operational efficiency when the current convolutional neural network performs convolution operations

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  • Convolutional neural network generation method and device
  • Convolutional neural network generation method and device
  • Convolutional neural network generation method and device

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Embodiment Construction

[0256] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments . Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0257] An embodiment of the present invention provides a method for generating a convolutional neural network, which can be executed by a device for generating a convolutional neural network. The method for generating a convolutional neural network is mainly used for further adjustment after training the initial convolutional neural network. The target convolutional neural network is obtained. The generation method of the convolutional neur...

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Abstract

The invention relates to a convolutional neural network generation method and device, and belongs to the technical field of video coding and decoding. The method comprises the following steps: training an initial convolutional neural network to obtain a trained convolutional neural network; determining a to-be-processed convolutional neural network based on the trained convolutional neural network; and performing tensor decomposition operation on at least one target convolutional layer in the to-be-processed convolutional neural network to obtain a target convolutional neural network. According to the invention, the problem that the operation efficiency is low when the current convolutional neural network performs convolution operation can be solved.

Description

technical field [0001] The present invention relates to the technical field of video encoding and decoding, in particular to a method and device for generating a convolutional neural network. Background technique [0002] During processing in digital image systems, filtering, data rounding, quantization, or other manipulations can shift the intensity of pixel values, causing visual disturbances or artifacts. In order to avoid or mitigate the potential problems mentioned above, image de-distortion filters can be designed to post-process the image to restore the pixel intensity shift and alleviate the visual loss. [0003] Traditional image de-distortion filters usually generalize the characteristics of distorted images artificially, artificially design filter structures, and configure filter coefficients based on experiments and experience, such as deblocking filters used in image / video coding standards ( English: Deblocking Filter; Abbreviation: DBK), etc.; there is also a ...

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Application Information

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IPC IPC(8): G06N3/04G06N3/08G06K9/62
CPCG06N3/08H04N19/61G06N3/045G06F18/23211
Inventor 姚佳宝
Owner HANGZHOU HIKVISION DIGITAL TECH
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