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Multi-scale target detection method and device

A target detection and multi-scale technology, applied in the field of image processing, can solve problems such as poor target detection efficiency, achieve scale division densification, improve target detection efficiency, and increase the effect of receptive fields

Active Publication Date: 2019-09-20
BOE TECH GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] For this reason, the first purpose of the present invention is to propose a multi-scale target detection method for solving the problem of poor target detection efficiency in the prior art

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Embodiment Construction

[0044] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0045] The following describes the multi-scale target detection method and device according to the embodiments of the present invention with reference to the accompanying drawings.

[0046] figure 1 It is a schematic flowchart of a multi-scale target detection method provided by an embodiment of the present invention. Such as figure 1 As shown, the multi-scale target detection method includes the following steps:

[0047] S101. Acquire an image to be detected.

[0048] The execution body of the multi-scale target detection me...

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Abstract

The invention provides a multi-scale target detection method and device. The method comprises the steps of obtaining an image to be subjected to target detection; carrying out first convolution processing on the image to obtain the feature maps of multiple scales; for each scale in the plurality of scales, carrying out hole convolution processing on the feature map of the scale to obtain a feature map after hole convolution; processing the feature map of the scale according to the feature map subjected to the cavity convolution to obtain a processed feature map of the scale; carrying out fusion processing on a processed feature map of each scale in a plurality of scales, determining a target detection result of an image according to the fused feature map of each scale, wherein a receptive field is increased through the adoption of the cavity convolution, the scale division is densified, and the target detection efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a multi-scale target detection method and device. Background technique [0002] The current multi-scale target detection method is to perform convolution processing on the image to obtain feature maps of multiple scales; perform convolution processing and interpolation processing on the feature maps of each scale, and superimpose them with the feature maps of the previous scale , to obtain the fused feature map of the previous scale; input the fused feature map of each scale to the detection network to obtain the target detection result. In the above methods, the scale gap between different scales is large and not continuous enough, resulting in poor target detection efficiency. Contents of the invention [0003] The present invention aims to solve one of the technical problems in the related art at least to a certain extent. [0004] Therefore, the first object of t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V20/20G06V2201/07
Inventor 杨静林
Owner BOE TECH GRP CO LTD
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