Image processing method and device, electronic equipment and storage medium

An image processing and image technology, applied in the computer field, can solve problems such as statistical errors and network performance degradation, and achieve the effect of improving effectiveness and reducing statistical errors

Active Publication Date: 2019-10-18
BEIJING SENSETIME TECH DEV CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the case of differences between regions in an image, the normalization calculation may lead to statistical errors, leading to poor network performance

Method used

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  • Image processing method and device, electronic equipment and storage medium
  • Image processing method and device, electronic equipment and storage medium
  • Image processing method and device, electronic equipment and storage medium

Examples

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Embodiment Construction

[0035] Various exemplary embodiments, features, and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numbers in the figures indicate functionally identical or similar elements. While various aspects of the embodiments are shown in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

[0036]The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as superior or better than other embodiments.

[0037] The term "and / or" in this article is just an association relationship describing associated objects, which means that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist simultaneously, and there exists alone B these three situations. In addition, the term "at least one" herein means...

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Abstract

The invention relates to an image processing method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the feature extraction of a to-be-processedimage, and obtaining a first feature map of the to-be-processed image; according to the dimension information of the first feature map and a preset splitting rule, splitting the first feature map intoa plurality of first sub-feature maps, wherein the dimension information of the first feature map comprises the dimension of the first feature map and the size of each dimension; normalizing the plurality of first sub-feature maps to obtain a plurality of second sub-feature maps; and splicing the plurality of second sub-feature maps to obtain a second feature map of the to-be-processed image. According to the embodiment of the invention, the statistical error during normalization of the complete feature map can be reduced.

Description

technical field [0001] The present disclosure relates to the field of computer technology, and in particular to an image processing method and device, electronic equipment, and a storage medium. Background technique [0002] In the deep learning network, the input feature map can be normalized from a fixed dimension, which can not only speed up the convergence speed of the model, but also alleviate the "gradient dispersion" problem in the deep network, making it easier to train depth neural network and get a more stable network. However, in the case of differences between regions in an image, the normalization computation may lead to statistical errors, leading to poor network performance. Contents of the invention [0003] The disclosure proposes an image processing technical solution. [0004] According to an aspect of the present disclosure, an image processing method is provided, including: performing feature extraction on the image to be processed to obtain a first ...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06V10/764
CPCG06F18/24147G06F18/241G06F18/253G06V10/7715G06N3/08G06V10/454G06V10/82G06V10/806G06V10/764G06N3/045G06T7/11G06T3/40G06V10/40G06F18/214
Inventor 杨昆霖侯军蔡晓聪伊帅
Owner BEIJING SENSETIME TECH DEV CO LTD
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